Introduction to Empirical Processes and Semiparametric Inference - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Empirical Processes and Semiparametric Inference write by Michael R. Kosorok. This book was released on 2007-12-29. Introduction to Empirical Processes and Semiparametric Inference available in PDF, EPUB and Kindle. Kosorok’s brilliant text provides a self-contained introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods of statistical inference for complex models and in understanding the properties of such methods. This is an authoritative text that covers all the bases, and also a friendly and gradual introduction to the area. The book can be used as research reference and textbook.
Asymptotic Statistics
Asymptotic Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Asymptotic Statistics write by A. W. van der Vaart. This book was released on 2000-06-19. Asymptotic Statistics available in PDF, EPUB and Kindle. This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and rank procedures, the book also presents recent research topics such as semiparametric models, the bootstrap, and empirical processes and their applications. The topics are organized from the central idea of approximation by limit experiments, which gives the book one of its unifying themes. This entails mainly the local approximation of the classical i.i.d. set up with smooth parameters by location experiments involving a single, normally distributed observation. Thus, even the standard subjects of asymptotic statistics are presented in a novel way. Suitable as a graduate or Master s level statistics text, this book will also give researchers an overview of the latest research in asymptotic statistics.
Practical Nonparametric and Semiparametric Bayesian Statistics
Practical Nonparametric and Semiparametric Bayesian Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical Nonparametric and Semiparametric Bayesian Statistics write by Dipak D. Dey. This book was released on 2012-12-06. Practical Nonparametric and Semiparametric Bayesian Statistics available in PDF, EPUB and Kindle. A compilation of original articles by Bayesian experts, this volume presents perspectives on recent developments on nonparametric and semiparametric methods in Bayesian statistics. The articles discuss how to conceptualize and develop Bayesian models using rich classes of nonparametric and semiparametric methods, how to use modern computational tools to summarize inferences, and how to apply these methodologies through the analysis of case studies.
Optimization Techniques in Statistics
Optimization Techniques in Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization Techniques in Statistics write by Jagdish S. Rustagi. This book was released on 2014-05-19. Optimization Techniques in Statistics available in PDF, EPUB and Kindle. Statistics help guide us to optimal decisions under uncertainty. A large variety of statistical problems are essentially solutions to optimization problems. The mathematical techniques of optimization are fundamentalto statistical theory and practice. In this book, Jagdish Rustagi provides full-spectrum coverage of these methods, ranging from classical optimization and Lagrange multipliers, to numerical techniques using gradients or direct search, to linear, nonlinear, and dynamic programming using the Kuhn-Tucker conditions or the Pontryagin maximal principle. Variational methods and optimization in function spaces are also discussed, as are stochastic optimization in simulation, including annealing methods. The text features numerous applications, including: Finding maximum likelihood estimates, Markov decision processes, Programming methods used to optimize monitoring of patients in hospitals, Derivation of the Neyman-Pearson lemma, The search for optimal designs, Simulation of a steel mill. Suitable as both a reference and a text, this book will be of interest to advanced undergraduate or beginning graduate students in statistics, operations research, management and engineering sciences, and related fields. Most of the material can be covered in one semester by students with a basic background in probability and statistics. - Covers optimization from traditional methods to recent developments such as Karmarkars algorithm and simulated annealing - Develops a wide range of statistical techniques in the unified context of optimization - Discusses applications such as optimizing monitoring of patients and simulating steel mill operations - Treats numerical methods and applications - Includes exercises and references for each chapter - Covers topics such as linear, nonlinear, and dynamic programming, variational methods, and stochastic optimization
Nonparametric and Semiparametric Models
Nonparametric and Semiparametric Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Nonparametric and Semiparametric Models write by Wolfgang Karl Härdle. This book was released on 2012-08-27. Nonparametric and Semiparametric Models available in PDF, EPUB and Kindle. The statistical and mathematical principles of smoothing with a focus on applicable techniques are presented in this book. It naturally splits into two parts: The first part is intended for undergraduate students majoring in mathematics, statistics, econometrics or biometrics whereas the second part is intended to be used by master and PhD students or researchers. The material is easy to accomplish since the e-book character of the text gives a maximum of flexibility in learning (and teaching) intensity.
