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Applied Integral Equations / / Ramakanta Meher
| Applied Integral Equations / / Ramakanta Meher |
| Autore | Meher Ramakanta |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Warsaw ; ; Berlin : , : Sciendo, , [2021] |
| Descrizione fisica | 1 online resource (273 p.) |
| Soggetto topico | MATHEMATICS / Applied |
| ISBN | 83-66675-57-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Contents -- Chapter-1 Introduction to integral equations -- Chapter-2 Existence and Uniqueness Theorems of Integral equations -- Chapter-3 Fredholm and Volterra Integral Equations -- Chapter-4 Applications of Fredholm Theory -- Chapter-5 Hilbert-Schmidt Theory -- Chapter-6 The Fredholm Alternatives -- Chapter-7 The method of undetermined coefficients -- About the Author |
| Record Nr. | UNINA-9910554254203321 |
Meher Ramakanta
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| Warsaw ; ; Berlin : , : Sciendo, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Design of Experiments for Engineers and Scientists
| Design of Experiments for Engineers and Scientists |
| Autore | Antony Jiju |
| Edizione | [3rd ed.] |
| Pubbl/distr/stampa | San Diego, CA, USA, : Elsevier Science, 2023 |
| Descrizione fisica | 1 online resource (444 p.) |
| Soggetto topico |
TECHNOLOGY & ENGINEERING / Mechanical
MATHEMATICS / Applied TECHNOLOGY & ENGINEERING / Industrial Engineering |
| ISBN |
0-443-15174-1
0-443-15173-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911045228403321 |
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Antony Jiju
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| San Diego, CA, USA, : Elsevier Science, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fractional order crowd dynamics : cyber-human system modeling and control / / Kecai Cao, YangQuan Chen
| Fractional order crowd dynamics : cyber-human system modeling and control / / Kecai Cao, YangQuan Chen |
| Autore | Cao Kecai |
| Pubbl/distr/stampa | Boston ; ; Berlin : , : De Gruyter, , [2018] |
| Descrizione fisica | 1 online resource (140 pages) |
| Disciplina | 363.32/30151583 |
| Collana | Fractional calculus in applied sciences and engineering |
| Soggetto topico |
Pedestrian traffic flow - Mathematical models
Fractional calculus MATHEMATICS / Differential Equations MATHEMATICS / Mathematical Analysis MATHEMATICS / Calculus MATHEMATICS / Applied |
| Soggetto genere / forma | Electronic books. |
| ISBN |
3-11-047283-X
3-11-047398-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Contents -- Acronyms -- 1. Introduction -- Part I. Fractional modeling of large crowds of pedestrians -- 2. Microscopic model of fractional order for evacuation of crowds -- 3. Macroscopic model of fractional order for crowds of pedestrians -- 4. Mesoscopic model of fractional order for crowds of pedestrians -- Part II: Fractional control of large crowds of pedestrians -- 5. Cluster consensus for crowds of pedestrians at micro-scale -- 6. Feedback control of crowds of pedestrians at macro-scale -- 7. Intelligent evacuation systems for crowds of pedestrians -- Index |
| Record Nr. | UNINA-9910466684103321 |
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Cao Kecai
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| Boston ; ; Berlin : , : De Gruyter, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fractional order crowd dynamics : cyber-human system modeling and control / / Kecai Cao, YangQuan Chen
| Fractional order crowd dynamics : cyber-human system modeling and control / / Kecai Cao, YangQuan Chen |
| Autore | Cao Kecai |
| Pubbl/distr/stampa | Boston ; ; Berlin : , : De Gruyter, , [2018] |
| Descrizione fisica | 1 online resource (140 pages) |
| Disciplina | 363.32/30151583 |
| Collana | Fractional calculus in applied sciences and engineering |
| Soggetto topico |
Pedestrian traffic flow - Mathematical models
Fractional calculus MATHEMATICS / Differential Equations MATHEMATICS / Mathematical Analysis MATHEMATICS / Calculus MATHEMATICS / Applied |
| ISBN |
3-11-047283-X
3-11-047398-4 |
| Classificazione | MAT003000MAT005000MAT007000MAT034000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Contents -- Acronyms -- 1. Introduction -- Part I. Fractional modeling of large crowds of pedestrians -- 2. Microscopic model of fractional order for evacuation of crowds -- 3. Macroscopic model of fractional order for crowds of pedestrians -- 4. Mesoscopic model of fractional order for crowds of pedestrians -- Part II: Fractional control of large crowds of pedestrians -- 5. Cluster consensus for crowds of pedestrians at micro-scale -- 6. Feedback control of crowds of pedestrians at macro-scale -- 7. Intelligent evacuation systems for crowds of pedestrians -- Index |
| Record Nr. | UNINA-9910796981303321 |
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Cao Kecai
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| Boston ; ; Berlin : , : De Gruyter, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fractional order crowd dynamics : cyber-human system modeling and control / / Kecai Cao, YangQuan Chen
| Fractional order crowd dynamics : cyber-human system modeling and control / / Kecai Cao, YangQuan Chen |
| Autore | Cao Kecai |
| Pubbl/distr/stampa | Boston ; ; Berlin : , : De Gruyter, , [2018] |
| Descrizione fisica | 1 online resource (140 pages) |
| Disciplina | 363.32/30151583 |
| Collana | Fractional calculus in applied sciences and engineering |
| Soggetto topico |
Pedestrian traffic flow - Mathematical models
Fractional calculus MATHEMATICS / Differential Equations MATHEMATICS / Mathematical Analysis MATHEMATICS / Calculus MATHEMATICS / Applied |
| ISBN |
3-11-047283-X
3-11-047398-4 |
| Classificazione | MAT003000MAT005000MAT007000MAT034000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Contents -- Acronyms -- 1. Introduction -- Part I. Fractional modeling of large crowds of pedestrians -- 2. Microscopic model of fractional order for evacuation of crowds -- 3. Macroscopic model of fractional order for crowds of pedestrians -- 4. Mesoscopic model of fractional order for crowds of pedestrians -- Part II: Fractional control of large crowds of pedestrians -- 5. Cluster consensus for crowds of pedestrians at micro-scale -- 6. Feedback control of crowds of pedestrians at macro-scale -- 7. Intelligent evacuation systems for crowds of pedestrians -- Index |
| Record Nr. | UNINA-9910807397903321 |
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Cao Kecai
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| Boston ; ; Berlin : , : De Gruyter, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Investigating human interaction through mathematical analysis : the queue transform / / Kurt T. Brintzenhofe
| Investigating human interaction through mathematical analysis : the queue transform / / Kurt T. Brintzenhofe |
| Autore | Brintzenhofe Kurt T. |
| Pubbl/distr/stampa | New York, NY : , : Routledge, , 2023 |
| Descrizione fisica | 1 electronic resource (217 p.) |
| Disciplina | 302.01/5118 |
| Soggetto topico |
Social interaction - Mathematical models
Queuing theory Abelian groups Algebra, Abstract Psychophysics MATHEMATICS / Algebra / General MATHEMATICS / Applied PSYCHOLOGY / General |
| ISBN |
1-00-332516-5
1-003-32516-5 |
| Classificazione | 03-XX08-XX28-XX |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Social psychology and psychophysics : laying the foundation -- Milgram's drawing power of crowds and social impact theory -- Revisiting Milgram's 1978 "response to intrusion into waiting lines" experiment -- Applying the queue transform to experiments outside the queue -- From the queue to the commons -- Defining an algebraic group in social space -- History as data. |
| Altri titoli varianti | Investigating Human Interaction through Mathematical Analysis |
| Record Nr. | UNINA-9910639981903321 |
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Brintzenhofe Kurt T.
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| New York, NY : , : Routledge, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Optimization Techniques I : Continuous Optimization
| Optimization Techniques I : Continuous Optimization |
| Autore | Cerf Max |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Les Ulis : , : EDP Sciences, , 2023 |
| Descrizione fisica | 1 online resource (484 pages) |
| Collana | Current Natural Sciences Series |
| Soggetto topico | MATHEMATICS / Applied |
| ISBN | 2-7598-3164-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Introduction -- Table of contents -- 1. Continuous optimization -- Introduction -- 1.1 Formulation -- 1.2 Numerical derivatives -- 1.3 Problem reduction -- 1.4 Global optimum -- 1.5 Local optimum -- 1.6 Conclusion -- 2. Gradient-free optimization -- Introduction -- 2.1 Difficult optimization -- 2.2 One-dimensional optimization -- 2.3 DIRECT method -- 2.4 Nelder-Mead method -- 2.5 Affine shaker -- 2.6 CMAES -- 2.7 Simulated annealing -- 2.8 Research with tabu -- 2.9 Particle swarms -- 2.10 Ant colonies -- 2.11 Evolutionary algorithms -- 2.12 Conclusion -- 3. Unconstrained optimization -- Introduction -- 3.1 Newton’s method -- 3.2 Quasi-Newton methods -- 3.3 Line search -- 3.4 Trust region -- 3.5 Proximal methods -- 3.6 Convergence -- 3.7 Conclusion -- 4. Constrained optimization -- Introduction -- 4.1 Classification of methods -- 4.2 Penalization -- 4.3 Reduced gradient -- 4.4 Sequential quadratic programming -- 4.5 Interior point -- 4.6 Augmented Lagrangian -- 4.7 Conclusion -- 5. Linear programming -- Introduction -- 5.1 Simplex -- 5.2 Interior point -- 5.3 Conclusion -- Index -- Bibliography |
| Record Nr. | UNINA-9910915797103321 |
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Cerf Max
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| Les Ulis : , : EDP Sciences, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Optimization Techniques II : Discrete and Functional Optimization
| Optimization Techniques II : Discrete and Functional Optimization |
| Autore | Cerf Max |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Les Ulis : , : EDP Sciences, , 2023 |
| Descrizione fisica | 1 online resource (478 pages) |
| Collana | Current Natural Sciences Series |
| Soggetto topico | MATHEMATICS / Applied |
| ISBN | 2-7598-3165-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intro -- Optimization Techniques II -- Preface -- Introduction -- Table of contents -- 1. Mixed linear programming -- 1.1 Formulation -- 1.2 Cutting methods -- 1.3 Tree methods -- 1.4 Applications -- 1.5 Quadratic problem -- 1.6 Conclusion -- 2. Discrete optimization -- 2.1 Combinatorial problem -- 2.2 Path problem -- 2.3 Scheduling problem -- 2.4 Flow problem -- 2.5 Assignment problem -- 2.6 Heuristics -- 2.7 Conclusion -- 3. Functional optimization -- 3.1 Formulation -- 3.2 Optimality conditions -- 3.3 Constraints -- 3.4 Canonical form -- 3.5 Dynamic system -- 3.6 Conclusion -- 4. Optimal control -- 4.1 Optimality conditions -- 4.2 Constraints -- 4.3 Extremals -- 4.4 Optimality conditions of second order -- 4.5 Conclusion -- 5. Numerical methods in optimal control -- 5.1 Transcription -- 5.2 Runge-Kutta methods -- 5.3 Adams methods -- 5.4 Collocation methods -- 5.5 Direct methods -- 5.6 Indirect methods -- 5.7 Conclusion -- Index -- Short bibliography. |
| Record Nr. | UNINA-9910915792103321 |
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Cerf Max
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| Les Ulis : , : EDP Sciences, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistics for business / / Perumal Mariappan
| Statistics for business / / Perumal Mariappan |
| Autore | Mariappan Perumal |
| Pubbl/distr/stampa | Boca Raton, FL : , : CRC Press, , 2019 |
| Descrizione fisica | 1 online resource |
| Disciplina | 519.5 |
| Soggetto topico |
Commercial statistics
MATHEMATICS / Applied MATHEMATICS / Probability & Statistics / General BUSINESS & ECONOMICS / Management Science REFERENCE / General |
| ISBN |
0-429-81150-0
0-429-44324-2 0-429-81149-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910793515703321 |
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Mariappan Perumal
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| Boca Raton, FL : , : CRC Press, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistics for business / / Perumal Mariappan
| Statistics for business / / Perumal Mariappan |
| Autore | Mariappan Perumal |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Boca Raton, FL : , : CRC Press, , 2019 |
| Descrizione fisica | 1 online resource |
| Disciplina | 519.5 |
| Soggetto topico |
Commercial statistics
MATHEMATICS / Applied MATHEMATICS / Probability & Statistics / General BUSINESS & ECONOMICS / Management Science REFERENCE / General |
| ISBN |
0-429-81150-0
0-429-44324-2 0-429-81149-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Foreword -- Preface -- Acknowledgements -- Author -- 1: Introduction to Statistics and Its Business Applications -- 1.1 Introduction -- 1.2 Is Statistics a Science? -- 1.3 Application of Statistics in Business -- 1.3.1 The Phases of the Statistical Decision-Making Process -- 1.3.1.1 Study Design Phase -- 1.3.1.2 Data Collection -- 1.3.1.3 Data Analysis -- 1.3.1.4 Action on Results -- 1.4 Responsibility of the Decision Maker -- 1.5 Functions and Limitations of Statistics -- 1.5.1 Functions of Statistics -- 1.5.2 Limitations of Statistics -- 1.6 Distrust of Statistics -- 1.7 Nature of Statistical Law -- 1.7.1 Law of Statistical Regularity -- 1.7.2 Law of Inertia of Large Numbers -- Exercise 1 -- 2: Data Structures, Data Sources, and Data Collection -- 2.1 Introduction -- 2.2 Data Structures -- 2.2.1 Univariate Data -- 2.2.2 Bivariate Data -- 2.2.3 Multivariate Data -- 2.3 Data Sources -- 2.3.1 Primary Sources -- 2.3.2 Secondary Sources -- 2.3.3 Internal Source -- 2.3.4 External Source -- 2.4 Data Collection Inquiries -- 2.4.1 Survey Design -- 2.4.1.1 Questionnaire Design -- 2.4.2 Pilot Survey of the Questionnaire -- 2.4.3 Editing Primary Data -- 2.4.4 Possible Errors in Secondary Data -- 2.4.5 Census and Sampling Methods -- Exercise 2 -- 3: Data Presentation -- 3.1 Introduction -- 3.2 Classification of Data -- 3.2.1 Types of Classification -- 3.3 Data Presentation -- 3.3.1 Textual Form -- 3.3.2 Tabular Form -- 3.4 Types of Variables and Data -- 3.5 Levels of Measurement -- 3.5.1 Nominal Scale -- 3.5.2 Ordinal Scale -- 3.5.3 Interval Scale -- 3.5.4 Ratio Scale -- 3.6 Frequency -- 3.6.1 Frequency Distributions -- 3.7 Types of Class Interval -- 3.8 Tally Mark -- 3.9 Construction of a Discrete Frequency Distribution.
3.10 Construction of a Continuous Frequency Distribution -- 3.11 Cumulative and Relative Frequencies -- 3.12 Diagrammatic Representation of Data -- 3.12.1 Advantages and Disadvantages of Diagrammatic Representation -- 3.12.2 Types of Diagrams -- 3.12.2.1 Bar Diagram -- 3.12.2.2 Pie Diagram -- 3.12.2.3 Histogram, Frequency Polygon, and Frequency Curve -- 3.12.2.4 Frequency Polygon -- 3.12.2.5 Frequency Curve -- 3.12.2.6 Ogive Curve -- 3.12.2.7 Line Diagram -- Exercise 3 -- 4: Measures of Central Tendency (MCT) -- 4.1 Introduction -- 4.2 MCT -- 4.2.1 Properties of Best Average -- 4.3 Arithmetic Mean -- 4.3.1 Discrete Data -- 4.3.2 Discrete Data with Frequency -- 4.3.3 Continuous Data with Frequency -- 4.4 Mathematical Properties of Arithmetic Mean -- 4.5 Median -- 4.5.1 Discrete Data -- 4.5.2 Discrete Data with Frequency -- 4.5.3 Continuous Data with Frequency -- 4.5.3.1 Relative Advantages -- 4.5.3.2 Relative Disadvantages -- 4.5.3.3 Property of Median -- 4.5.4 Graphical Method to Find the Median -- 4.6 Quartiles, Deciles and Percentiles -- 4.7 Mode -- 4.7.1 Discrete Data -- 4.7.2 Discrete Data with Frequency -- 4.7.3 Continuous Data with Frequency -- 4.7.4 A Graphical Method to Evaluate the Mode -- 4.8 Comparison of Mean, Median, and Mode -- 4.9 Weighted Arithmetic Mean -- 4.9.1 Advantages of the Weighted Mean -- 4.10 Geometric Mean -- 4.11 Harmonic Mean -- Exercise 4 -- 5: Dispersion -- 5.1 Introduction -- 5.2 Range -- 5.3 Quartile Deviation (QD) -- 5.4 Coefficient of Quartile Deviation -- 5.5 Mean Deviation -- 5.6 Standard Deviation (SD) -- 5.7 Relative Measures of Dispersion -- Exercise 5 -- 6: Skewness, Moments, and Kurtosis -- 6.1 Introduction -- 6.2 Dispersion and Skewness -- 6.3 Moments -- 6.4 Kurtosis -- Exercise 6 -- 7: Correlation and Regression Analysis -- 7.1 Introduction -- 7.2 Correlation -- 7.2.1 Simple Correlation or Correlation. 7.2.2 Rank Correlation -- 7.2.3 Group Correlation -- 7.2.4 Assumptions for Karl Pearson's Coefficient of Correlation -- 7.2.5 Limitations -- 7.2.6 Properties -- 7.2.7 Scatter Diagram -- 7.3 Karl Pearson Coefficient of Correlation -- 7.4 Coefficient of Correlation of a Grouped Data -- 7.5 Probable Error of the Coefficient of Correlation -- 7.6 Rank Correlation -- 7.7 Regression Equations -- Exercise 7 -- 8: Probability -- 8.1 Introduction -- 8.2 Definitions for Certain Key Terms -- 8.2.1 Experiment -- 8.2.2 Sample Space -- 8.2.3 Event -- 8.2.4 Equally Likely Events -- 8.2.5 Mutually Exclusive Events -- 8.2.6 Outcome -- 8.3 Meaning of Probability -- 8.3.1 The Classical Approach -- 8.3.2 The Relative Frequency Approach -- 8.3.3 Notation -- 8.3.4 Addition Rules for Probability -- 8.3.5 Multiplication Rule on Probability When Events Are Independent -- 8.3.6 Compound Probability or Conditional Probability -- 8.4 Bayes' Theorem -- Exercise 8 -- 9: Random Variables and Expectation -- 9.1 Introduction -- 9.2 Random Variable -- 9.2.1 Discrete Random Variable -- 9.2.2 Continuous Random Variable -- 9.3 Probability Distribution -- 9.3.1 Discrete Probability Distribution -- 9.3.2 Characteristics of a Discrete Distribution -- 9.3.3 Probability Function -- 9.4 Mathematical Expectation -- Exercise 9 -- 10: Discrete Probability Distribution: Binomial and Poisson Distributions -- 10.1 Introduction -- 10.2 Binomial Distribution -- 10.2.1 Characteristics of a Bernoulli Process -- 10.2.2 Definition of Binomial Distribution -- 10.2.3 Conditions of Binomial Distribution -- 10.2.4 Properties of Binomial Distributions -- 10.2.5 Mean of Binomial Distribution -- 10.2.6 Variance of Binomial Distribution -- 10.3 Poisson Distribution -- 10.3.1 Definition of Poisson Distribution -- 10.3.2 Properties of Poisson Distribution -- 10.3.3 Mean of the Poisson Distribution. 10.3.4 Variance of the Poisson Distribution -- Exercise 10 -- 11: Continuous Probability Distribution: Normal Distribution -- 11.1 Introduction -- 11.2 Definition of Normal Distribution -- 11.3 Standard Normal Distribution -- 11.4 Properties of Normal Distribution -- Exercise 11 -- 12: Theory of Sampling -- 12.1 Introduction -- 12.2 Why Sample? -- 12.3 How to Choose It? -- 12.4 Sample Design -- 12.5 Keywords and Notations -- 12.6 Advantages and Disadvantages of Sampling -- 12.7 Nonrandom Errors and Non-sampling Errors -- 12.8 Random Errors and Sampling Errors -- 12.9 Types of Samples -- 12.9.1 Probability Sample -- 12.9.2 Nonprobability Sample -- 12.10 Random Sampling -- 12.10.1 Systematic Sampling -- 12.10.2 Stratified Sampling (P, N) -- 12.10.3 Multistage Sampling -- 12.11 Nonrandom Sampling Methods -- 12.11.1 Convenience Sampling -- 12.11.2 Purposive Sampling -- 12.11.3 Quota Sampling -- 12.11.4 Cluster Sampling -- 12.11.5 Sequential Sampling -- 12.12 Sampling Distributions -- 12.13 Need for Sampling Distribution -- 12.14 Standard Error for Different Situations -- 12.14.1 When the Population Size Is Infinite -- 12.14.2 When the Population Is Finite -- 12.14.3 Sampling Distribution Based on Sample Means -- 12.15 Point and Internal Estimation -- 12.15.1 Point Estimate -- 12.15.2 Properties of Good Point Estimators -- 12.16 Interval Estimate -- 12.17 Confidence Interval Estimation for Large Samples -- 12.18 Confidence Intervals for Difference between Means -- 12.19 Estimating a Population Proportion -- 12.20 Estimating the Interval Based on the Difference between Two Proportions -- 12.21 Confidence Interval Estimation for Small Sample -- 12.22 Determining the Sample Size -- Exercise 12 -- 13: Hypothesis Testing, Parametric Tests, Distribution Tests, and Tests of Significance -- 13.1 Introduction -- 13.2 Null Hypothesis (H0). 13.3 Alternative Hypothesis (H1) -- 13.4 Type I and Type II Errors -- 13.5 Meaning of Parametric and Nonparametric Test -- 13.5.1 Parametric Test -- 13.5.2 Nonparametric Test -- 13.6 Selection of Appropriate Test Statistic -- 13.7 Methodology of Statistical Testing -- 13.8 Test for a Specified Mean: Large Sample -- 13.9 Test for Equality of Two Populations: Large Sample -- 13.10 Test for Population Proportion: Large Sample -- 13.11 Test for Equality of Two Proportions: Large Samples -- 13.12 Test for Equality of Two Standard Deviations: Large Samples -- 13.13 Student's t-Distribution -- 13.14 Properties of t-Distribution -- 13.15 Test for the Specified Mean: Small Sample -- 13.16 Test for Equality of Two Population Means: Small Samples -- 13.17 Paired t-Test for Difference of Mean -- 13.18 Chi-square Distribution -- 13.18.1 Properties of Chi-square Distribution -- 13.18.2 Chi-square Test -- 13.18.3 Test for Goodness of Fit -- 13.18.4 Tests for Independence of Attributes -- 13.18.5 Whenever the Expected Frequencies of the Cell Entries Are Less Than 5 -- 13.18.6 Test for a Specified Population Variance -- 13.19 Snedecor's F-Distribution -- 13.19.1 Properties of F-Distribution -- 13.19.2 Test for Difference of Two Populations' Variances -- 13.20 Analysis of Variance (ANOVA) -- 13.20.1 One-Way Classification -- 13.20.2 Two-Way Classification -- Exercise 13 -- Appendix A: Answers to Exercise Problems -- Exercise 4 -- Exercise 5 -- Exercise 6 -- Exercise 7 -- Exercise 8 -- Exercise 9 -- Exercise 10 -- Exercise 11 -- Exercise 12 -- Exercise 13 -- Appendix B: ST Statistical Tables -- Index. |
| Record Nr. | UNINA-9910955812503321 |
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Mariappan Perumal
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| Boca Raton, FL : , : CRC Press, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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