Constrained Statistical Inference
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Constrained Statistical Inference
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Author : Pranab Kumar Sen
language : en
Publisher:
Release Date : 2011
Constrained Statistical Inference written by Pranab Kumar Sen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Constrained Statistical Inference
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Author : Mervyn J. Silvapulle
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-15
Constrained Statistical Inference written by Mervyn J. Silvapulle and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-15 with Mathematics categories.
An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This volume enables professionals in these and related fields to master the concepts of statistical inference under inequality constraints and to apply the theory to problems in a variety of areas. Constrained Statistical Inference: Order, Inequality, and Shape Constraints provides a unified and up-to-date treatment of the methodology. It clearly illustrates concepts with practical examples from a variety of fields, focusing on sociology, econometrics, and biostatistics. The authors also discuss a broad range of other inequality-constrained inference problems that do not fit well in the contemplated unified framework, providing a meaningful way for readers to comprehend methodological resolutions. Chapter coverage includes: Population means and isotonic regression Inequality-constrained tests on normal means Tests in general parametric models Likelihood and alternatives Analysis of categorical data Inference on monotone density function, unimodal density function, shape constraints, and DMRL functions Bayesian perspectives, including Stein’s Paradox, shrinkage estimation, and decision theory
Constrained Statistical Inference
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Author : Mervyn J. Silvapulle
language : en
Publisher: Wiley-Interscience
Release Date : 2004-11-08
Constrained Statistical Inference written by Mervyn J. Silvapulle and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-11-08 with Mathematics categories.
An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This volume enables professionals in these and related fields to master the concepts of statistical inference under inequality constraints and to apply the theory to problems in a variety of areas. Constrained Statistical Inference: Order, Inequality, and Shape Constraints provides a unified and up-to-date treatment of the methodology. It clearly illustrates concepts with practical examples from a variety of fields, focusing on sociology, econometrics, and biostatistics. The authors also discuss a broad range of other inequality-constrained inference problems that do not fit well in the contemplated unified framework, providing a meaningful way for readers to comprehend methodological resolutions. Chapter coverage includes: Population means and isotonic regression Inequality-constrained tests on normal means Tests in general parametric models Likelihood and alternatives Analysis of categorical data Inference on monotone density function, unimodal density function, shape constraints, and DMRL functions Bayesian perspectives, including Stein’s Paradox, shrinkage estimation, and decision theory
Constrained Statistical Inference
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Author : David K. Ruch
language : en
Publisher:
Release Date : 2005
Constrained Statistical Inference written by David K. Ruch and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Digital images categories.
1. Introduction -- 2. Comparison of population means and isotonic regression -- 3. Tests on multivariate normal mean -- 4. Tests in general parametric models -- 5. Likelihood and alternatives -- 6. Analysis of categorical data -- 7. Beyond parametrics -- 8. Bayesian perspectives -- 9. Miscellaneous topics
Constrained Statistical Inference In Regression
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Author : Thelge Buddika Peiris
language : en
Publisher:
Release Date : 2014
Constrained Statistical Inference In Regression written by Thelge Buddika Peiris and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Regression analysis categories.
Regression analysis constitutes a large portion of the statistical repertoire in applications. In case where such analysis is used for exploratory purposes with no previous knowledge of the structure one would not wish to impose any constraints on the problem. But in many applications we are interested in a simple parametric model to describe the structure of a system with some prior knowledge of the structure. An important example of this occurs when the experimenter has the strong belief that the regression function changes monotonically in some or all of the predictor variables in a region of interest. The analyses needed for statistical inference under such constraints are nonstandard. The specific aim of this study is to introduce a technique which can be used for statistical inferences of a multivariate simple regression with some non-standard constraints.
Nonparametric Estimation Under Shape Constraints
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Author : Piet Groeneboom
language : en
Publisher: Cambridge University Press
Release Date : 2014-12-11
Nonparametric Estimation Under Shape Constraints written by Piet Groeneboom and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-11 with Business & Economics categories.
This book introduces basic concepts of shape constrained inference and guides the reader to current developments in the subject.
Constrained Statistical Inference In Regression
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Author : Thelge Buddika Peiris (‡e author)
language : en
Publisher:
Release Date : 2014
Constrained Statistical Inference In Regression written by Thelge Buddika Peiris (‡e author) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Regression analysis categories.
Regression analysis constitutes a large portion of the statistical repertoire in applications. In case where such analysis is used for exploratory purposes with no previous knowledge of the structure one would not wish to impose any constraints on the problem. But in many applications we are interested in a simple parametric model to describe the structure of a system with some prior knowledge of the structure. An important example of this occurs when the experimenter has the strong belief that the regression function changes monotonically in some or all of the predictor variables in a region of interest. The analyses needed for statistical inference under such constraints are nonstandard. The specific aim of this study is to introduce a technique which can be used for statistical inferences of a multivariate simple regression with some non-standard constraints.
Statistical Paradigms Recent Advances And Reconciliations
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Author : Ashis Sengupta
language : en
Publisher: World Scientific
Release Date : 2014-10-03
Statistical Paradigms Recent Advances And Reconciliations written by Ashis Sengupta and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-03 with Mathematics categories.
This volume consists of a collection of research articles on classical and emerging Statistical Paradigms — parametric, non-parametric and semi-parametric, frequentist and Bayesian — encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. For advances in theory, the topics include: Bayesian Inference, Directional Data Analysis, Distribution Theory, Econometrics and Multiple Testing Procedures. The areas in emerging applications include: Bioinformatics, Factorial Experiments and Linear Models, Hotspot Geoinformatics and Reliability.
Modern Statistical Methods For Hci
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Author : Judy Robertson
language : en
Publisher: Springer
Release Date : 2016-03-22
Modern Statistical Methods For Hci written by Judy Robertson and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-22 with Computers categories.
This book critically reflects on current statistical methods used in Human-Computer Interaction (HCI) and introduces a number of novel methods to the reader. Covering many techniques and approaches for exploratory data analysis including effect and power calculations, experimental design, event history analysis, non-parametric testing and Bayesian inference; the research contained in this book discusses how to communicate statistical results fairly, as well as presenting a general set of recommendations for authors and reviewers to improve the quality of statistical analysis in HCI. Each chapter presents [R] code for running analyses on HCI examples and explains how the results can be interpreted. Modern Statistical Methods for HCI is aimed at researchers and graduate students who have some knowledge of “traditional” null hypothesis significance testing, but who wish to improve their practice by using techniques which have recently emerged from statistics and related fields. This book critically evaluates current practices within the field and supports a less rigid, procedural view of statistics in favour of fair statistical communication.
Geometry Driven Statistics
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Author : Ian L. Dryden
language : en
Publisher: John Wiley & Sons
Release Date : 2015-07-22
Geometry Driven Statistics written by Ian L. Dryden and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-22 with Mathematics categories.
A timely collection of advanced, original material in the area of statistical methodology motivated by geometric problems, dedicated to the influential work of Kanti V. Mardia This volume celebrates Kanti V. Mardia's long and influential career in statistics. A common theme unifying much of Mardia’s work is the importance of geometry in statistics, and to highlight the areas emphasized in his research this book brings together 16 contributions from high-profile researchers in the field. Geometry Driven Statistics covers a wide range of application areas including directional data, shape analysis, spatial data, climate science, fingerprints, image analysis, computer vision and bioinformatics. The book will appeal to statisticians and others with an interest in data motivated by geometric considerations. Summarizing the state of the art, examining some new developments and presenting a vision for the future, Geometry Driven Statistics will enable the reader to broaden knowledge of important research areas in statistics and gain a new appreciation of the work and influence of Kanti V. Mardia.