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Advanced Information-Measuring Technologies and Systems I
| Advanced Information-Measuring Technologies and Systems I |
| Autore | Eremenko Volodymyr |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2023 |
| Descrizione fisica | 1 online resource (282 pages) |
| Altri autori (Persone) | ZaporozhetsArtur |
| Collana | Studies in Systems, Decision and Control Series |
| ISBN | 3-031-40718-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Metrological Support of Measurement Channels with Bridge Circuits -- 1 Bridge Circuit-Based Sensor Simulator -- 2 Error Correction of the Sensor Simulator Output Signal with Bridge Circuit Caused by Difference Between the Real Circuit Resistance and the Calculated Values -- 3 Conversion Equation of Measuring Channels -- References -- Application of Exponential Splines in the Measurement and Control of Electric Circuit Parameters -- 1 Complex Electric Circuit Parameters Control -- 2 The Discrete Synthesis of Test Signals Based on Exponential Splines -- 2.1 The Definition -- 2.2 The Discrete Synthesis -- 2.3 Signal-Forming Circuit Model -- 2.4 The TF of the Forming Circuit -- 2.5 Exponential Splines. Time Domain, Relative Scale -- 2.6 Examples of Synthesized Splines and Signal Generation -- 3 Analysis of the Errors in Determining the Parameters of Electric Circuits Due to the Approximation of Test Signals by Splines -- 3.1 Methods of Building a Spline Model Test Signal -- 3.2 Interpolation of the Ideal Test Signal -- 3.3 Methodical Error Component Due to Interpolation -- 3.4 Approximation with Minimum Absolute Error on Each Approximation interval -- 3.5 "Interpolation" of an Ideal Response -- 3.6 Estimation of the Methodical Error Component Caused by the Approximation Method -- 4 Conclusions -- References -- Improving of Methods of Impedance Parameters Units Reproduction and Measurement Accuracy Increasing for Ensuring Metrological Traceability -- 1 The Need for Improvement the Accuracy of Electrical Impedance Parameters Units Measurements -- 2 Analysis and Optimization of Transfer Schemes and Reproducing Methods of Impedance Parameters Units -- 3 Increasing the Accuracy of the Impedance Unit Size Transfer in Low-Resistance Range of Values by the Equal-Nominal Comparing Method.
4 Constructive and Technological Methods of Increasing the Accuracy of Measurements to Ensure Metrological Traceability of Impedance Parameters Units in the Range of Values -- 4.1 Violation of the Connection Four-Parity in the Region of Low-Resistance Impedances due to a Change in the Geometry of the Current Lines at the Potential Electrode When Varying Current Sources -- 4.2 Difference of Temperature Coefficient Between Conductor and Measure -- 4.3 Violation of the Connection Four-Parity When Connecting Several Measures (Assemblies) Due to Mutual Induction -- 4.4 Violation of the Four-Parity Due to Distributed Capacitance Between the Conductors and the Common Shield -- 5 Estimation of Measurement Uncertainty in the Calibration of Precision Measures of Electrical Capacitance with Reference to the Standard Measure of Capacitance of the Same Nominal Value on the National Standard of Units of Electrical Capacitance and Dissipation Factor -- 6 Ensuring the Traceability of Measurements of Electrical Capacitance and Active Resistance -- 7 Transfer of the Electrical Capacitance Unit Size by the Range of Values Using the National Standard of Units of Electrical Capacitance and the Dissipation Factor -- 8 Uncertainty Estimation in the Calibration of Inductance Measures with Traceability to Capacitance Standards -- 9 Calibration Method of Precision LCR-Meters -- 9.1 Calibration of a Precision LCR Meter for Measuring Active Resistance -- 9.2 Calibration of a Precision LCR-Meter for Measuring Inductance -- 9.3 Calibration of a Precision LCR-Meter for Measuring Electrical Capacitance -- 10 Conclusions -- References -- Implementation of Information and Measurement Systems at the Base of Specialized Internet Protocols -- 1 Organization of Distributed Data Collection Systems Based on Network Intelligent Sensors. 1.1 Features of the Use of Intelligent Sensors in Distributed Data Collection Systems -- 1.2 Organization of Network Data Collection Systems Based on the IEEE 1451 Group of Standards -- 1.3 Development of Hardware and Software of the STIM Module of Intelligent Sensors of the IEEE 1451 Standard -- 1.4 Implementation of the NCAP Module of Intelligent Sensors According to the IEEE 1451 Standard Based on a Single-Board Java Microserver Cubieboard -- 2 Development of Network Intelligent Sensors Based on the Specialized Web Protocol MQTT -- 2.1 Peculiarities of Using the MQTT Protocol in Network Data Collection Systems -- 2.2 Development of Hardware and Software of Intelligent Sensors Based on the uIP Library -- 2.3 Development of Software for Setting Network Parameters of Intelligent Sensors Using Flash Memory -- 2.4 Development of DHCP Protocol Support Software -- 2.5 Development of Data Exchange Software Using the MQTT Protocol -- 2.6 Development of Software for Remote Configuration of Intelligent Sensors -- 3 Development of Components of Network Microcontroller Data Collection Systems Based on RESTful Web Services -- 3.1 Peculiarities of Using RESTful Web Services in Network Data Collection Systems -- 3.2 Development of Software for Supporting RESTful Web Services Based on Java Microservers -- 3.3 Development of RESTful Web Service Support Software for the STIM Module According to the IEEE 1451 Standard Based on a Raspberry Pi Single-Board Computer -- 3.4 Development of RESTful Web Service Support Software for the NCAP Module Based on Cubieboard Java Microserver -- 4 Development of a Network Data Collection System Based on MQTT Protocol and RESTful Web Service -- 4.1 Development of the Structure of the Interaction of the Components of the Network Data Collection System. 4.2 Development of a RESTful Web Service Interface of a Network Data Collection System -- 4.3 Software Development of a Network Data Collection System Based on the MQTT Protocol and a RESTful Web Service -- 4.4 Development of RESTful Web Service Implementation Software -- References -- Model of Information Signals Formation in the Diagnostics of Composite Products -- 1 Structure of Diagnostic Information Processes -- 2 Mathematical Model of the Information-Signal Field -- 3 Diagnostic Method -- 4 Experimental Studies -- 5 Conclusions -- References -- Theory and Practice of Ensuring the Validity in Testing Laboratories -- 1 Features of Ensuring the Validity in Testing Laboratories -- 2 Approaches to the Organization and Assurance of Reliability in Laboratories -- 3 Analyzing Laboratory Processes for Validity Assurance -- 3.1 Equipment Management -- 3.2 Personnel Management -- 3.3 Validation of Methods -- 3.4 Evaluating the Uncertainty of a Test Result -- 3.5 Determination of Requirements for Facilities and Their Control -- 3.6 Differences Between the Request or Tender and the Contract -- 3.7 Externally Provided Products -- 3.8 Control of Data and Information Management -- 3.9 Ensuring the Impartiality -- 3.10 Sampling -- 3.11 Risk Management, Improvement, and Management Reviews -- References -- Methodology for Controlling Greenhouse Microclimate Parameters and Yield Forecast Using Neural Network Technologies -- 1 Justification of the Task's Relevance. Review and Analysis of Microclimate Parameters -- 2 Development of a Mathematical Model of the Greenhouse -- 3 Development of the Structure of the Greenhouse Monitoring and Control System -- 4 Neural Network Development for Prediction and Control of Microclimate Parameters -- References. |
| Record Nr. | UNINA-9910760270703321 |
Eremenko Volodymyr
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| Cham : , : Springer International Publishing AG, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Manufacturing Processes III : Selected Papers from the 3rd Grabchenko's International Conference on Advanced Manufacturing Processes (InterPartner-2021), September 7-10, 2021, Odessa, Ukraine
| Advanced Manufacturing Processes III : Selected Papers from the 3rd Grabchenko's International Conference on Advanced Manufacturing Processes (InterPartner-2021), September 7-10, 2021, Odessa, Ukraine |
| Autore | Tonkonogyi Volodymyr |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (728 pages) |
| Altri autori (Persone) |
IvanovVitalii
TrojanowskaJustyna OborskyiGennadii PavlenkoIvan |
| Collana | Lecture Notes in Mechanical Engineering Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9783030913274
9783030913267 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910510535403321 |
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Tonkonogyi Volodymyr
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Materials : An Introduction to Modern Materials Science
| Advanced Materials : An Introduction to Modern Materials Science |
| Autore | Behera Ajit |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (762 pages) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9783030803599
9783030803582 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910510563703321 |
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Behera Ajit
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Materials for Printed Flexible Electronics
| Advanced Materials for Printed Flexible Electronics |
| Autore | Tong Colin |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (641 pages) |
| Collana | Springer Series in Materials Science Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-030-79804-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910503010203321 |
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Tong Colin
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Materials Modelling for Mechanical, Medical and Biological Applications
| Advanced Materials Modelling for Mechanical, Medical and Biological Applications |
| Autore | Altenbach Holm |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (475 pages) |
| Altri autori (Persone) |
EremeyevVictor A
GalybinAlexander VasilievAndrey |
| Collana | Advanced Structured Materials Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9783030817053
9783030817046 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910508441203321 |
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Altenbach Holm
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Mathematical Methods for Economic Efficiency Analysis : Theory and Empirical Applications
| Advanced Mathematical Methods for Economic Efficiency Analysis : Theory and Empirical Applications |
| Autore | Macedo Pedro |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2023 |
| Descrizione fisica | 1 online resource (267 pages) |
| Disciplina | 330.0151 |
| Altri autori (Persone) |
MoutinhoVictor
MadalenoMara |
| Collana | Lecture Notes in Economics and Mathematical Systems Series |
| ISBN | 3-031-29583-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Contributors -- Introduction -- 1 General Insights and Concepts -- 2 The Book Chapters and Contents -- 2.1 Part 1 -- 2.2 Part 2 -- 2.3 Part 3 -- 3 Concluding Remarks -- References -- Part 1 -- Production Economics and Economic Efficiency -- References -- Data Envelopment Analysis: A Review and Synthesis -- 1 Introduction -- 2 The Origin of Frontier Methods -- 3 The Original DEA Model -- 4 The Evolution of the DEA Methodology -- 5 DEA Applications Roadmap -- 6 Opportunities for Future Developments in DEA -- References -- Stochastic Frontier Analysis: A Review and Synthesis -- 1 Introduction -- 2 Stochastic Frontier Analysis (SFA) -- 2.1 The SFA Method -- 2.2 SFA Approach in EE -- 3 Applications of SFA in EE Assessment -- 4 Policy Recommendations and Possible Future Research Applications of SFA -- 5 Concluding Remarks -- References -- Part 2 -- Combining Directional Distances and ELECTRE Multicriteria Decision Analysis for Preferable Assessments of Efficiency -- 1 Introduction -- 2 Using ELECTRE Outranking to Set a "Preferable Direction" -- 3 Numerical Example -- 4 Conclusions -- References -- Benefit-of-the-Doubt Composite Indicators and Use of Weight Restrictions -- 1 Introduction -- 2 BoD Composite Indicators Based on DEA Models -- 3 BoD Composite Indicators Based on Directional Distance Functions -- 4 Incorporating Value Judgments in BoD Composite indicators -- 4.1 Restrictions to Virtual Weights in CIs -- 4.2 Direct Weight Restrictions in CIs -- 5 Graphical Interpretation of a Directional BoD Model -- 5.1 Directional BoD Model with Virtual Weight Restrictions -- 5.2 Directional BoD Model with ARI Restrictions -- 6 Conclusions -- References -- Multidirectional Dynamic Inefficiency Analysis: An Extension to Include Corporate Social Responsibility -- 1 Introduction.
2 Dynamic Multidirectional Inefficiency Analysis with CSR Incorporated -- 3 Dataset -- 4 Results -- 5 Conclusions -- References -- Stochastic DEA -- 1 Introduction -- 2 Stochastic DEA -- 3 Distributional Assumptions on ε -- 4 Measuring Technical Efficiency -- 5 Conclusions -- References -- Internal Benchmarking for Efficiency Evaluations Using Data Envelopment Analysis: A Review of Applications and Directions for Future Research -- 1 Introduction -- 2 Methodological Procedure -- 3 Results -- 4 Internal Longitudinal Benchmarking: An Empirical Application -- 5 Discussion -- 6 Conclusions -- References -- Part 3 -- Recent Advances in the Construction of Nonparametric Stochastic Frontier Models -- 1 Introduction -- 2 Identification -- 3 Estimation -- 3.1 Full Separability -- 3.2 Weak Separability -- 3.3 No Separability -- 4 Concluding Remarks -- References -- A Hierarchical Panel Data Model for the Estimation of Stochastic Metafrontiers: Computational Issues and an Empirical Application -- 1 Introduction -- 2 The Model and Its Estimation -- 3 Computational Issues -- 4 Empirical Application -- 4.1 Estimation -- 5 Conclusions -- References -- Robustness in Stochastic Frontier Analysis -- 1 Introduction -- 2 The Stochastic Frontier Model -- 3 Definitions and Measures of Robustness -- 3.1 The Influence Function -- 3.2 Breakdown Point -- 3.3 Summary of Measures -- 4 Robustness and Stochastic Frontier Estimation -- 4.1 Corrected Ordinary Least Squares -- 4.2 Quantile Regression -- 4.3 Maximum Likelihood Estimation -- 4.4 Alternative M-estimators -- 5 Robustness and Efficiency Prediction -- 5.1 Conditional Mean -- 5.2 Conditional Mode -- 5.3 Conditional Median -- 6 Summary and Conclusions -- References -- Is it MOLS or COLS? -- 1 Introduction -- 2 The Methods -- 2.1 Method A -- 2.2 Method B -- 2.3 What These Methods Aim to Do -- 3 History of the Nomenclature. 3.1 Prior to 1980 -- 3.2 1980 -- 3.3 After 1980 -- 4 The Gabrielsen Dilemma -- 5 Textbook Treatment of the Acronyms -- 6 Use of the Acronyms in the Journal of Productivity Analysis -- 7 Who Cares? -- 8 The ``Final'' Verdict -- 9 COLS in the JPA -- 10 MOLS in the JPA -- 11 A Collection of COLS Results -- References -- Stochastic Frontier Analysis with Maximum Entropy Estimation -- 1 Introduction -- 2 Maximum Entropy Estimation -- 2.1 Generalized Maximum (Cross) Entropy Estimator -- 2.2 ME Estimation in SFA -- 3 An Application to Eco-Efficiency Analysis of European Countries -- 4 Concluding Remarks -- References. |
| Record Nr. | UNINA-9910734827403321 |
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Macedo Pedro
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| Cham : , : Springer International Publishing AG, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced MEMS/NEMS Fabrication and Sensors
| Advanced MEMS/NEMS Fabrication and Sensors |
| Autore | Yang Zhuoqing |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (312 pages) |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-030-79749-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910502588003321 |
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Yang Zhuoqing
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Robust Nonlinear Control Approaches for Quadrotor Unmanned Aerial Vehicle : Roadmap to Improve Tracking-Trajectory Performance in the Presence of External Disturbances
| Advanced Robust Nonlinear Control Approaches for Quadrotor Unmanned Aerial Vehicle : Roadmap to Improve Tracking-Trajectory Performance in the Presence of External Disturbances |
| Autore | Labbadi Moussa |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (263 pages) |
| Altri autori (Persone) |
BoukalYassine
CherkaouiMohamed |
| Collana | Studies in Systems, Decision and Control Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-030-81014-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Advanced Robust Nonlinear Control Approaches for Quadrotor Unmanned Aerial Vehicle |
| Record Nr. | UNINA-9910502988303321 |
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Labbadi Moussa
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Solutions for Mobility in Urban Areas
| Advanced Solutions for Mobility in Urban Areas |
| Autore | Sierpiński Grzegorz |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (135 pages) |
| Altri autori (Persone) |
Al-MajeedSalah
MacioszekElżbieta |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 3-031-53181-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- The Digital Ecosystem in a Public Transport Company -- 1 Introduction - The Concept of a Digital Ecosystem -- 2 Model of the Ecosystem in Public Transport Company -- 3 Description of the Experiment - Building and Testing the Integration Platform -- 4 Methodology of Building a Digital Ecosystem - An Integration Platform -- 5 Summary -- References -- Contracts of Transport Services Provision as a Factor of Increasing the Effectiveness of the Urban Public Transport -- 1 Introduction -- 2 Objective and Research Methods, Research Problems -- 3 Risk Division Between the Public Transport Organiser and Operator in Contracts of Net Costs and Gross Costs -- 4 Discussion and Results -- 5 Summary -- References -- Identification of Risks Related to Passenger Exchange Service in the Water Tram Stop Area on the Example of the Water Tram of the Wrocław Agglomeration -- 1 Introduction -- 2 Methodology -- 3 Identification of Risks Related to Passenger Exchange Service in the Water Tram Stop Area on the Example of the Water Tram of the Wrocław Agglomeration -- 4 Analysis of Legal Requirements with Respect to the Water Tram Stop Infrastructure -- 4.1 Analysis of Standards Regarding the Stop Infrastructure Applicable to the City of Wrocław -- 4.2 Analysis of Standards Regarding the Inland Waterway Transport Infrastructure -- 5 Identification of Minimum Requirements for Infrastructure of Water Tram Stops -- 6 Conclusions -- References -- Key Factors Influencing the Decision to Buy an Electric Vehicle in Emerging Markets: A Comparison Between University Students' Behavior in Italy and Argentina -- 1 Introduction -- 2 Methodological Framework -- 2.1 Modelling Approach -- 2.2 Preliminary Analysis -- 3 Estimation Results and Comparison with the Argentinian Case Study -- 3.1 Mixed Binomial Logit Model Results.
3.2 Hybrid Binomial Logit Model Results -- 4 Italy vs Argentina: Discussion and Comparison -- 5 Conclusions -- Appendix: Experimental Set-Up - Survey Description -- References -- Relationship Among Socio-demographic Characteristics, Activity-Travel Participation, Travel Parameter, Physical Activity Intensity, and Health Parameters -- 1 Introduction -- 2 Sampling and Population -- 2.1 Population -- 2.2 Sampling Frame -- 3 Data -- 3.1 Household Dataset -- 3.2 Diary Activity Travel Participation -- 3.3 Health Related Quality of Life (QoL) -- 4 Data Analysis -- 4.1 Descriptive Analysis -- 4.2 Linear Regression Analysis -- 5 Analysis Results and Discussions -- 5.1 Time-Use and ATP -- 5.2 Travel Time and Transport Mode -- 5.3 Frequency and Duration of Physical Activity -- 5.4 The Proposed Model -- 6 Conclusion -- References -- Levels of Evidence in Transport Research -- 1 Introduction -- 1.1 Notes on the LOEs Used -- 1.2 Possibilities and Limitations of Using LOE in Transport -- 1.3 Lack of Research -- 1.4 What Dose of Therapy? -- 1.5 How to Compare Objects? -- 2 Statistical Research on LEO in Transport -- 2.1 Assumptions -- 2.2 Query Results -- 3 Directions of Research in Transport -- 4 Conclusions -- References -- Modern Transport Infrastructure as Part of Critical Infrastructures -- 1 Introduction -- 2 Hazards -- 3 Critical Infrastructure Protection -- 3.1 European Union -- 3.2 Poland -- 4 Critical Infrastructure in EU Research -- 5 Financing of Critical Infrastructure - Transport Sector -- 6 Summary -- References -- Mountain Without Barriers - Method of Evaluating Tourist Trails for Possibilities of Traveling by People with Disabilities Using Specialized Off-Road Vehicle -- 1 Introduction -- 2 Method -- 3 Case Study -- 4 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910831012503321 |
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Sierpiński Grzegorz
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Statistics in Criminology and Criminal Justice
| Advanced Statistics in Criminology and Criminal Justice |
| Autore | Weisburd David |
| Edizione | [5th ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (552 pages) |
| Altri autori (Persone) |
WilsonDavid B
WooditchAlese BrittChester |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-030-67738-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Chapter 1: Introduction -- Proportionality Review and the Supreme Court of New Jersey: A Cautionary Tale -- Generalized Linear Models -- Special Topics -- References -- Chapter 2: Multiple Regression -- Overview of Simple Regression -- Extending Simple Regression to Multiple Regression -- Assumptions of Multiple Regression -- Independence -- Normally Distributed Errors -- Homoscedasticity of Errors -- Linearity -- Measurement Error in the Independent Variables -- Regression Diagnostics -- Dealing with Outliers and Influential Cases -- Testing the Significance of Individual Regression Coefficients -- Assessing Overall Model Fit and Comparing Nested Models -- R2 and Adjusted R2 -- Comparing Regression Coefficients Within a Single Model: The Standardized Regression Coefficient -- Correctly Specifying the Regression Model -- Model Specification and Building -- An Example of a Multiple Regression Model -- Chapter Summary -- Key Terms -- Symbols and Formulas -- Exercises -- Computer Exercises -- SPSS -- Standardized Regression Coefficients (Betas) -- F-Test for a Subset of Variables -- Residual Plot -- Stata -- Standardized Regression Coefficients (Betas) -- F-Test for a Subset of Variables -- Residual Plot -- R -- Standardized Regression Coefficients (Betas) -- F-Test for a Subset of Variables -- Residual Plot -- Problems -- References -- Chapter 3: Multiple Regression: Additional Topics -- Nominal Variables with Three or More Categories in Multiple Regression -- Nonlinear Relationships -- Finding a Nonlinear Relationship: Graphical Assessment -- Incorporating Nonlinear Relationships into an OLS Model Using a Quadratic Term of an Independent Variable -- Interpreting Nonlinear Coefficients -- Note on Statistical Significance -- Transforming the Dependent Variable -- Review of Nonlinear Relationships -- Interaction Effects.
Interaction of a Dummy Variable and a Scaled Variable -- An Example: Race and Punishment Severity -- Interaction Effects Between Two Scaled Variables -- An Example: Punishment Severity -- The Problem of Multicollinearity -- Chapter Summary -- Key Terms -- Symbols and Formulas -- Exercises -- Computer Exercises -- SPSS -- Dummy Coding Nominal Variables -- Computing Nonlinear and Interaction Terms -- Nonlinear Terms -- Interaction Terms -- Estimating the Regression Model -- Collinearity Diagnostics -- Stata -- Dummy Coding Nominal Variables -- Computing Nonlinear and Interaction Terms -- Nonlinear Terms -- Interaction Terms -- Estimating the Regression Model -- Collinearity Diagnostics -- R -- Dummy Coding Nominal Variables -- Computing Nonlinear and Interaction Terms -- Nonlinear Terms -- Interaction Terms -- Estimating the Regression Model -- Collinearity Diagnostics -- Problems -- References -- Chapter 4: Logistic Regression -- Why Is It Inappropriate to Use OLS Regression for a Dichotomous Dependent Variable? -- Logistic Regression -- A Substantive Example: Adoption of Compstat in U.S. Police Agencies -- Interpreting Logistic Regression Coefficients -- The Odds Ratio -- The Derivative at Mean -- Comparing Logistic Regression Coefficients -- Using Probability Estimates to Compare Coefficients -- Standardized Logistic Regression Coefficients -- Evaluating the Logistic Regression Model -- Percent of Correct Predictions -- Pseudo-R2 -- Statistical Significance in Logistic Regression -- Chapter Summary -- Key Terms -- Symbols and Formulas -- Exercises -- Computer Exercises -- SPSS -- Stata -- R -- Problems -- References -- Chapter 5: Multiple Regression with Multiple Category Nominal or Ordinal Measures -- Multinomial Logistic Regression -- A Substantive Example: Case Dispositions in California -- The Missing Set of Coefficients -- Statistical Inference. Single Coefficients -- Multiple Coefficients -- Overall Model -- A Concluding Observation About Multinomial Logistic Regression Models -- Ordinal Logistic Regression -- Interpretation of Ordinal Logistic Regression Coefficients -- Substantive Example: Severity of Punishment Decisions -- Interpreting the Coefficients -- Statistical Significance -- Parallel Slopes Tests -- Score Test -- Brant Test -- Partial Proportional Odds -- Severity of Punishment Example -- Chapter Summary -- Key Terms -- Formulas -- Exercises -- Computer Exercises -- SPSS -- Multinomial Logistic Regression -- Ordinal Logistic Regression -- Stata -- Multinomial Logistic Regression -- Ordinal Logistic Regression -- Partial Proportional Odds -- R -- Multinomial Logistic Regression -- Ordinal Logistic Regression -- Partial Proportional Odds -- Problems -- References -- Chapter 6: Count-Based Regression Models -- The Poisson Distribution -- Poisson Regression -- Incident Rate Ratios (IRRs) -- Significance Testing -- Exposure and Offsets -- An Example: California 1999 Uniform Crime Report Data -- Over-Dispersion in Count Data -- Quasi-Poisson and Negative Binomial Regression -- An Example: Reanalysis of the California 1999 Uniform Crime Report Data -- Zero-Inflated Poisson and Negative Binomial Regression -- Chapter Summary -- Key Terms -- Symbols and Formulas -- Exercises -- Computer Exercises -- SPSS -- Poisson Regression -- Quasi-Poisson Regression -- Negative Binomial Regression -- Zero-Inflated Poisson/Negative Binomial Regression -- Stata -- Poisson Regression -- Quasi-Poisson Regression -- Negative Binomial Regression -- Zero-Inflated Poisson/Negative Binomial Regression -- R -- Poisson Regression -- Quasi-Poisson Regression -- Negative Binomial Regression -- Zero-Inflated Poisson/Negative Binomial Regression -- Problems -- References -- Chapter 7: Multilevel Regression Models. A Simple Multilevel Model -- Fixed-Effects and Random-Effects -- A Substantive Example: Bail Decision-Making Study -- Intraclass Correlation and Explained Variance -- Deciding Between and Fixed- and Random-Effects Model -- Statistical Significance -- Bail Decision-Making Study -- Random Intercept Model with Fixed Slopes -- Statistical Significance -- Centering Independent Variables -- Bail Decision-Making Study -- Between and Within Effects -- Testing for Between and Within Effects -- Bail Decision-Making Study -- Random Coefficient Model -- Variance Estimates -- Bail Decision-Making Study -- Adding Cluster (Level 2) Characteristics -- A Substantive Example: Race and Sentencing Across Pennsylvania Counties -- Multilevel Negative Binomial Regression -- Chapter Summary -- Key Terms -- Symbols and Formulas -- Exercises -- Computer Exercises -- SPSS -- Stata -- Random Intercept Models -- Random Coefficient Models -- R -- Random Intercept Models -- Random Coefficient Models -- Problems -- References -- Chapter 8: Statistical Power -- Statistical Power -- Setting the Level of Statistical Power -- Components of Statistical Power -- Statistical Significance and Statistical Power -- Directional Hypotheses -- Sample Size and Statistical Power -- Effect Size and Statistical Power -- Estimating Statistical Power and Sample Size for a Statistically Powerful Study -- Difference of Means Test -- ANOVA -- Correlation -- Least Squares Regression -- Summing Up: Avoiding Studies Designed for Failure -- Chapter Summary -- Key Terms -- Symbols and Formulas -- Computer Exercises -- Stata -- Two-Sample Difference of Means Test -- ANOVA -- Correlation -- OLS Regression -- R -- Two-Sample Difference of Means Test -- ANOVA -- Correlation -- OLS Regression -- Problems -- References -- Chapter 9: Randomized Experiments -- The Structure of a Randomized Experiment. The Main Advantage of Experiments: Isolating Causal Effects -- Internal Validity -- Selected Design Types and Associated Statistical Methods -- The Two-Group Randomized Design -- Three or More Group Randomized Design -- Factorial Design -- Two-Way ANOVA for Between-Subjects Designs -- An Example: Perceptions of Children During a Police Interrogation -- Mixed Within- and Between-Subjects Factorial Designs -- Block Randomized Designs -- Block Randomization and Statistical Power -- Examining Interaction in a Block Randomized Experiment -- Using Covariates to Increase Statistical Power in Experimental Studies -- Chapter Summary -- Key Terms -- Symbols and Formulas -- Exercises -- Computer Exercises -- SPSS -- Independent Sample t-Test -- One-Way ANOVA -- Two-Way Factorial (Type I SS) -- Two-Way Factorial (Type II SS) -- Two-Way Factorial (Type III SS) -- Stata -- Independent Sample t-Test -- One-Way ANOVA -- Two-Way Factorial (Type I SS) -- Two-Way Factorial (Type II SS) -- Two-Way Factorial (Type III SS) -- R -- Independent Sample t-Test -- One-Way ANOVA -- Two-Way Factorial (Type I SS) -- Two-Way Factorial (Type II SS) -- Two-Way Factorial (Type III SS) -- Problems -- References -- Chapter 10: Propensity Score Matching -- The Underlying Logic Behind Propensity Score Matching -- Selection of Model for Predicting Propensity for Treatment -- Matching Methods -- The Case of Work Release in Prison: A Substantive Example -- Assessing the Quality of the Matches -- Sensitivity Analysis for Average Treatment Effects -- Limitations of Propensity Score Matching -- Chapter Summary -- Key Terms -- Symbols and Formulas -- Exercises -- Computer Exercises -- Stata -- Estimating Propensity Score -- Matching Cases -- Assessing Matches -- Estimating Treatment Effect -- R -- Estimating Propensity Score -- Matching Cases -- Assessing Matches -- Estimating Treatment Effect. Problems. |
| Record Nr. | UNINA-9910506391303321 |
|
Weisburd David
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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