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Application of statistical theory of extreme values to gust-load problems : progress report for January - March 1952 / / National Bureau of Standards
Application of statistical theory of extreme values to gust-load problems : progress report for January - March 1952 / / National Bureau of Standards
Pubbl/distr/stampa Gaithersburg, MD : , : U.S. Dept. of Commerce, National Institute of Standards and Technology, , 1952
Descrizione fisica 1 online resource
Collana NBS report
Soggetto topico Airplanes
Gust loads
Statistics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Application of statistical theory of extreme values to gust-load problems
Record Nr. UNINA-9910711272503321
Gaithersburg, MD : , : U.S. Dept. of Commerce, National Institute of Standards and Technology, , 1952
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Application of the theory of stochastic processes to the study of trajectories : progress report for January - March 1952 / / National Bureau of Standards
Application of the theory of stochastic processes to the study of trajectories : progress report for January - March 1952 / / National Bureau of Standards
Pubbl/distr/stampa Gaithersburg, MD : , : U.S. Dept. of Commerce, National Institute of Standards and Technology, , 1952
Descrizione fisica 1 online resource
Collana NBS report
Soggetto topico Airplanes
Gust loads
Statistics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Application of the theory of stochastic processes to the study of trajectories
Record Nr. UNINA-9910711275403321
Gaithersburg, MD : , : U.S. Dept. of Commerce, National Institute of Standards and Technology, , 1952
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied Advanced Analytics [[electronic resource] ] : 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence / / edited by Arnab Kumar Laha
Applied Advanced Analytics [[electronic resource] ] : 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence / / edited by Arnab Kumar Laha
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (236 pages)
Disciplina 658.4038011
Collana Springer Proceedings in Business and Economics
Soggetto topico Operations research
Business - Data processing
Business information services
Business enterprises - Finance
Management
Statistics
Operations Research and Decision Theory
Business Analytics
IT in Business
Corporate Finance
Applied Statistics
ISBN 981-336-656-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Streams -- Robust Statistics -- Explainable Artificial Intelligence Model: Analysis of Neural Network Parameters -- Mitigating Agricultural Lending Risk: An Advanced Analytical Approach.
Record Nr. UNINA-9910484698803321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied Bayesian Statistics [[electronic resource] ] : With R and OpenBUGS Examples / / by Mary Kathryn Cowles
Applied Bayesian Statistics [[electronic resource] ] : With R and OpenBUGS Examples / / by Mary Kathryn Cowles
Autore Cowles Mary Kathryn
Edizione [1st ed. 2013.]
Pubbl/distr/stampa New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (236 p.)
Disciplina 519.5
Collana Springer Texts in Statistics
Soggetto topico Statistics
R (Computer program language)
Statistical Theory and Methods
ISBN 1-4614-5696-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto What is Bayesian statistics? -- Review of probability -- Introduction to one-parameter models -- Inference for a population proportion -- Special considerations in Bayesian inference -- Other one-parameter models and their conjugate priors -- More realism please: Introduction to multiparameter models -- Fitting more complex Bayesian models: Markov chain Monte Carlo -- Hierarchical models, and more on convergence assessment -- Regression and hierarchical regression models -- Model Comparison, Model Checking, and Hypothesis Testing -- References -- Index.
Record Nr. UNINA-9910438144503321
Cowles Mary Kathryn  
New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applied biostatistics for the health sciences / / Richard J. Rossi, Montana Tech, Butte, Montana
Applied biostatistics for the health sciences / / Richard J. Rossi, Montana Tech, Butte, Montana
Autore Rossi Richard J. <1956->
Edizione [Second edition.]
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , [2022]
Descrizione fisica 1 online resource (xv, 667 pages) : illustrations
Disciplina 610.72
Soggetto topico Medical statistics
Statistics
Biometry
Soggetto genere / forma Electronic books.
ISBN 9781119722717
1119722713
9781119722670
1119722675
9781119722700
1119722705
9781119722694
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to biostatistics -- Describing populations -- Random sampling -- Summarizing random samples -- Measuring the reliability of statistics -- Confidence intervals -- Testing statistical hypotheses -- Simple linear regression -- Multiple regression -- Logistic regression -- Design of experiments -- Analysis of variance -- Survival analysis.
Record Nr. UNINA-9910566698203321
Rossi Richard J. <1956->  
Hoboken, New Jersey : , : Wiley, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied biostatistics for the health sciences / / Richard J. Rossi
Applied biostatistics for the health sciences / / Richard J. Rossi
Autore Rossi Richard J. <1956->
Edizione [Second edition.]
Pubbl/distr/stampa Hoboken, NJ : , : Wiley, , ℗2022
Descrizione fisica 1 online resource (xv, 667 pages) : illustrations
Disciplina 610.72
Soggetto topico Medical statistics
Statistics
Biometry
ISBN 1-119-72271-3
1-119-72267-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to biostatistics -- Describing populations -- Random sampling -- Summarizing random samples -- Measuring the reliability of statistics -- Confidence intervals -- Testing statistical hypotheses -- Simple linear regression -- Multiple regression -- Logistic regression -- Design of experiments -- Analysis of variance -- Survival analysis.
Record Nr. UNINA-9910829875803321
Rossi Richard J. <1956->  
Hoboken, NJ : , : Wiley, , ℗2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied Data Analysis and Modeling for Energy Engineers and Scientists [[electronic resource] /] / by T. Agami Reddy, Gregor P. Henze
Applied Data Analysis and Modeling for Energy Engineers and Scientists [[electronic resource] /] / by T. Agami Reddy, Gregor P. Henze
Autore Reddy T. Agami
Edizione [2nd ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (622 pages)
Disciplina 620.00285
Soggetto topico Energy policy
Energy and state
Statistics
Quantitative research
Electric power production
Mathematical models
Energy Policy, Economics and Management
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Data Analysis and Big Data
Electrical Power Engineering
Mathematical Modeling and Industrial Mathematics
ISBN 3-031-34869-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Mathematical Models and Data Analysis -- Probability Concepts and Probability Distributions -- Data Collection and Preliminary Data Analysis -- Making Statistical Inferences from Samples -- Linear Regression Analysis Using Least Squares -- Design of Physical and Simulation Experiments -- Optimization Methods -- Analysis of Time Series Data -- Parametric and Non-Parametric Regression Methods -- Inverse Methods for Mechanistic Models -- Statistical Learning Through Data Analytics -- Decision-Making and Sustainability Assessments.
Record Nr. UNINA-9910754089103321
Reddy T. Agami  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied Linear Algebra, Probability and Statistics [[electronic resource] ] : A Volume in Honour of C. R. Rao and Arbind K. Lal / / edited by Ravindra B. Bapat, Manjunatha Prasad Karantha, Stephen J. Kirkland, Samir Kumar Neogy, Sukanta Pati, Simo Puntanen
Applied Linear Algebra, Probability and Statistics [[electronic resource] ] : A Volume in Honour of C. R. Rao and Arbind K. Lal / / edited by Ravindra B. Bapat, Manjunatha Prasad Karantha, Stephen J. Kirkland, Samir Kumar Neogy, Sukanta Pati, Simo Puntanen
Autore Bapat Ravindra B
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (540 pages)
Disciplina 512.5
Altri autori (Persone) KaranthaManjunatha Prasad
KirklandStephen J
NeogySamir Kumar
PatiSukanta
PuntanenSimo
Collana Indian Statistical Institute Series
Soggetto topico Algebras, Linear
Probabilities
Statistics
Graph theory
Stochastic processes
Game theory
Linear Algebra
Probability Theory
Statistical Theory and Methods
Graph Theory
Stochastic Processes
Game Theory
ISBN 981-9923-10-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. On Some Matrix Versions of Covariance, Harmonic Mean and other Inequalities: An Overview -- Chapter 2. The Impact of Professor C. R. Rao's Research used in solving problems in Applied Probability -- Chapter 3. Upper ounds for the Euclidean distances between the BLUEs under the partitioned linear fixed model and the corresponding mixed model -- Chapter 4. Nucleolus Computation for some Structured TU Games via Graph Theory and Linear Algebra -- Chapter 5. From Linear System of Equations to Artificial Intelligence - The evolution Journey of Computer Tomographic Image Reconstruction Algorithms -- Chapter 6. Shapley Value and other Axiomatic Extensions to Shapley Value -- Chapter 7. An Accelerated Block Randomized Kaczmarz Methos -- Chapter 8. Nullity of Graphs - A Survey and Some New Results -- Chapter 9. Some Observations on Algebraic Connectivity of Graphs -- Chapter 10. Orthogonality for iadjoints f Operators -- Chapter 11. Permissible covariance structures for simultaneous retention of BLUEs in small and big linear models -- Chapter 12. On some Special Matrices and its Applications in Linear Complementarity Problem -- Chapter 3. On Nearest Matrix with Partially Specified Eigen Structure -- Chapter 14. Equality of BLUEs for Full, Small, and Intermediate Linear Models under Covariance Change, with links to Data Confidentiality and Encryption.-Chapter 15. Statistical Inference for Middle Censored Data with Applications. etc.
Record Nr. UNINA-9910736008903321
Bapat Ravindra B  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applied probability : from random experiments to random sequences and statistics / / Valérie Girardin and Nikolaos Limnios
Applied probability : from random experiments to random sequences and statistics / / Valérie Girardin and Nikolaos Limnios
Autore Girardin Valérie
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (265 pages)
Disciplina 519.2
Soggetto topico Distribution (Probability theory)
Statistics
Stochastic processes
Probabilitats
Estadística matemàtica
Soggetto genere / forma Llibres electrònics
ISBN 3-030-97963-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Notation -- 1 Events and Probability Spaces -- 1.1 Sample Space -- 1.2 Measure Spaces -- 1.2.1 σ-Algebras -- Properties of σ-Algebras -- 1.2.2 Measures -- Properties of Measures -- Dirac Measure -- Counting Measure -- Lebesgue Measure -- 1.3 Probability Spaces -- 1.3.1 General Case -- 1.3.2 Conditional Probabilities -- 1.3.3 Discrete Case: Combinatorial Analysis and Entropy -- Properties of Shannon Entropy -- 1.4 Independence of Finite Collections -- 1.5 Exercises -- 2 Random Variables -- 2.1 Random Variables -- 2.1.1 Measurable Functions -- Properties of Measurable Functions -- 2.1.2 Distributions and Distribution Functions -- Properties of Distribution Functions -- Properties of Quantiles -- 2.2 Expectation -- 2.2.1 Lebesgue Integral -- Properties of Lebesgue Integrals -- 2.2.2 Expectation -- 2.3 Discrete Random Variables -- 2.3.1 General Properties -- 2.3.2 Classical Discrete Distributions -- Dirac Distribution -- Uniform Distribution -- Bernoulli Distribution -- Binomial Distribution -- Hyper-Geometric Distribution -- Geometric and Negative Binomial Distributions -- Poisson Distribution -- 2.4 Continuous Random Variables -- 2.4.1 Absolute Continuity of Measures -- 2.4.2 Densities -- Properties of Densities of Random Variables -- 2.4.3 Classical Distributions with Densities -- Uniform Distribution -- Gaussian Distribution -- Gamma, Exponential, Chi-Squared, Erlang Distributions -- Log-Normal Distribution -- Weibull Distribution -- Inverse-Gaussian Distribution -- Beta Distribution -- Fisher Distribution -- Student and Cauchy Distributions -- 2.4.4 Determination of Distributions -- 2.5 Analytical Tools -- 2.5.1 Generating Functions -- Properties of Generating Functions -- 2.5.2 Fourier Transform and Characteristic Functions -- Properties of Characteristic Functions -- 2.5.3 Laplace Transform.
Properties of Laplace Transforms -- 2.5.4 Moment Generating Functions and Cramér Transform -- Properties of Cramér Transform -- 2.6 Reliability and Survival Analysis -- 2.7 Exercises and Complements -- 3 Random Vectors -- 3.1 Relations Between Random Variables -- 3.1.1 Covariance -- Properties of Covariance and Correlation Coefficients -- 3.1.2 Independence of Random Variables -- 3.1.3 Stochastic Order Relation -- 3.1.4 Entropy -- Properties of Entropy -- 3.2 Characteristics of Random Vectors -- 3.2.1 Product of Probability Spaces -- 3.2.2 Distribution of Random Vectors -- Properties of Multi-dimensional Distribution Functions -- Properties of Densities of Random Vectors -- Properties of Covariance Matrices -- 3.2.3 Independence of Random Vectors -- Properties of Covariance Matrices of Two Vectors -- 3.3 Functions of Random Vectors -- 3.3.1 Order Statistics -- 3.3.2 Sums of Independent Variables or Vectors -- Properties of Convolution -- 3.3.3 Determination of Distributions -- 3.4 Gaussian Vectors -- 3.5 Exercises and Complements -- 4 Random Sequences -- 4.1 Enumerable Sequences -- 4.1.1 Sequences of Events -- Properties of Superior and Inferior Limits of Events -- 4.1.2 Independence of Sequences -- 4.2 Stochastic Convergence -- 4.2.1 Different Types of Convergence -- 4.2.2 Convergence Criteria -- 4.2.3 Links Between Convergences -- 4.2.4 Convergence of Sequences of Random Vectors -- 4.3 Limit Theorems -- 4.3.1 Asymptotics of Discrete Distributions -- 4.3.2 Laws of Large Numbers -- 4.3.3 Central Limit Theorem -- 4.4 Stochastic Simulation Methods -- 4.4.1 Generating Random Variables -- 4.4.2 Monte Carlo Simulation Method -- 4.5 Exercises and Complements -- 5 Introduction to Statistics -- 5.1 Non-parametric Statistics -- 5.1.1 Empirical Distribution Function -- 5.1.2 Confidence Intervals -- 5.1.3 Non-parametric Testing -- 5.2 Parametric Statistics.
5.2.1 Point Estimation -- 5.2.2 Maximum Likelihood Method -- 5.2.3 Precision of the Estimators -- 5.2.4 Parametric Confidence Intervals -- 5.2.5 Testing in a Parametric Model -- 5.3 The Linear Model -- 5.3.1 Linear and Quadratic Approximations -- 5.3.2 The Simple Linear Model -- 5.3.3 ANOVA -- For Two Samples -- One Way Model -- Two Way Model -- 5.4 Exercises and Complements -- Further Reading -- Measure and Probability -- Probability Theory and Statistics -- Applications -- Index.
Record Nr. UNINA-9910568249603321
Girardin Valérie  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied probability : from random experiments to random sequences and statistics / / Valérie Girardin and Nikolaos Limnios
Applied probability : from random experiments to random sequences and statistics / / Valérie Girardin and Nikolaos Limnios
Autore Girardin Valérie
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (265 pages)
Disciplina 519.2
Soggetto topico Distribution (Probability theory)
Statistics
Stochastic processes
Probabilitats
Estadística matemàtica
Soggetto genere / forma Llibres electrònics
ISBN 3-030-97963-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Notation -- 1 Events and Probability Spaces -- 1.1 Sample Space -- 1.2 Measure Spaces -- 1.2.1 σ-Algebras -- Properties of σ-Algebras -- 1.2.2 Measures -- Properties of Measures -- Dirac Measure -- Counting Measure -- Lebesgue Measure -- 1.3 Probability Spaces -- 1.3.1 General Case -- 1.3.2 Conditional Probabilities -- 1.3.3 Discrete Case: Combinatorial Analysis and Entropy -- Properties of Shannon Entropy -- 1.4 Independence of Finite Collections -- 1.5 Exercises -- 2 Random Variables -- 2.1 Random Variables -- 2.1.1 Measurable Functions -- Properties of Measurable Functions -- 2.1.2 Distributions and Distribution Functions -- Properties of Distribution Functions -- Properties of Quantiles -- 2.2 Expectation -- 2.2.1 Lebesgue Integral -- Properties of Lebesgue Integrals -- 2.2.2 Expectation -- 2.3 Discrete Random Variables -- 2.3.1 General Properties -- 2.3.2 Classical Discrete Distributions -- Dirac Distribution -- Uniform Distribution -- Bernoulli Distribution -- Binomial Distribution -- Hyper-Geometric Distribution -- Geometric and Negative Binomial Distributions -- Poisson Distribution -- 2.4 Continuous Random Variables -- 2.4.1 Absolute Continuity of Measures -- 2.4.2 Densities -- Properties of Densities of Random Variables -- 2.4.3 Classical Distributions with Densities -- Uniform Distribution -- Gaussian Distribution -- Gamma, Exponential, Chi-Squared, Erlang Distributions -- Log-Normal Distribution -- Weibull Distribution -- Inverse-Gaussian Distribution -- Beta Distribution -- Fisher Distribution -- Student and Cauchy Distributions -- 2.4.4 Determination of Distributions -- 2.5 Analytical Tools -- 2.5.1 Generating Functions -- Properties of Generating Functions -- 2.5.2 Fourier Transform and Characteristic Functions -- Properties of Characteristic Functions -- 2.5.3 Laplace Transform.
Properties of Laplace Transforms -- 2.5.4 Moment Generating Functions and Cramér Transform -- Properties of Cramér Transform -- 2.6 Reliability and Survival Analysis -- 2.7 Exercises and Complements -- 3 Random Vectors -- 3.1 Relations Between Random Variables -- 3.1.1 Covariance -- Properties of Covariance and Correlation Coefficients -- 3.1.2 Independence of Random Variables -- 3.1.3 Stochastic Order Relation -- 3.1.4 Entropy -- Properties of Entropy -- 3.2 Characteristics of Random Vectors -- 3.2.1 Product of Probability Spaces -- 3.2.2 Distribution of Random Vectors -- Properties of Multi-dimensional Distribution Functions -- Properties of Densities of Random Vectors -- Properties of Covariance Matrices -- 3.2.3 Independence of Random Vectors -- Properties of Covariance Matrices of Two Vectors -- 3.3 Functions of Random Vectors -- 3.3.1 Order Statistics -- 3.3.2 Sums of Independent Variables or Vectors -- Properties of Convolution -- 3.3.3 Determination of Distributions -- 3.4 Gaussian Vectors -- 3.5 Exercises and Complements -- 4 Random Sequences -- 4.1 Enumerable Sequences -- 4.1.1 Sequences of Events -- Properties of Superior and Inferior Limits of Events -- 4.1.2 Independence of Sequences -- 4.2 Stochastic Convergence -- 4.2.1 Different Types of Convergence -- 4.2.2 Convergence Criteria -- 4.2.3 Links Between Convergences -- 4.2.4 Convergence of Sequences of Random Vectors -- 4.3 Limit Theorems -- 4.3.1 Asymptotics of Discrete Distributions -- 4.3.2 Laws of Large Numbers -- 4.3.3 Central Limit Theorem -- 4.4 Stochastic Simulation Methods -- 4.4.1 Generating Random Variables -- 4.4.2 Monte Carlo Simulation Method -- 4.5 Exercises and Complements -- 5 Introduction to Statistics -- 5.1 Non-parametric Statistics -- 5.1.1 Empirical Distribution Function -- 5.1.2 Confidence Intervals -- 5.1.3 Non-parametric Testing -- 5.2 Parametric Statistics.
5.2.1 Point Estimation -- 5.2.2 Maximum Likelihood Method -- 5.2.3 Precision of the Estimators -- 5.2.4 Parametric Confidence Intervals -- 5.2.5 Testing in a Parametric Model -- 5.3 The Linear Model -- 5.3.1 Linear and Quadratic Approximations -- 5.3.2 The Simple Linear Model -- 5.3.3 ANOVA -- For Two Samples -- One Way Model -- Two Way Model -- 5.4 Exercises and Complements -- Further Reading -- Measure and Probability -- Probability Theory and Statistics -- Applications -- Index.
Record Nr. UNISA-996479370903316
Girardin Valérie  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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