[PDF] Advances In Probability And Mathematical Statistics - eBooks Review

Advances In Probability And Mathematical Statistics


Advances In Probability And Mathematical Statistics
DOWNLOAD

Download Advances In Probability And Mathematical Statistics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Advances In Probability And Mathematical Statistics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Advances In Probability And Mathematical Statistics


Advances In Probability And Mathematical Statistics
DOWNLOAD
Author : Daniel Hernández‐Hernández
language : en
Publisher: Birkhäuser
Release Date : 2022-11-16

Advances In Probability And Mathematical Statistics written by Daniel Hernández‐Hernández and has been published by Birkhäuser this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-16 with Mathematics categories.


This volume contains papers which were presented at the XV Latin American Congress of Probability and Mathematical Statistics (CLAPEM) in December 2019 in Mérida-Yucatán, México. They represent well the wide set of topics on probability and statistics that was covered at this congress, and their high quality and variety illustrates the rich academic program of the conference.



Advances In Probability And Mathematical Statistics


Advances In Probability And Mathematical Statistics
DOWNLOAD
Author : Daniel Hernández‐Hernández
language : en
Publisher: Springer Nature
Release Date : 2021-11-14

Advances In Probability And Mathematical Statistics written by Daniel Hernández‐Hernández and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-14 with Mathematics categories.


This volume contains papers which were presented at the XV Latin American Congress of Probability and Mathematical Statistics (CLAPEM) in December 2019 in Mérida-Yucatán, México. They represent well the wide set of topics on probability and statistics that was covered at this congress, and their high quality and variety illustrates the rich academic program of the conference.



Advances In Mathematical And Statistical Modeling


Advances In Mathematical And Statistical Modeling
DOWNLOAD
Author : Barry C. Arnold
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-09

Advances In Mathematical And Statistical Modeling written by Barry C. Arnold and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-09 with Mathematics categories.


Enrique Castillo is a leading figure in several mathematical and engineering fields. Organized to honor Castillo’s significant contributions, this volume is an outgrowth of the "International Conference on Mathematical and Statistical Modeling," and covers recent advances in the field. Applications to safety, reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques are presented.



All Of Statistics


All Of Statistics
DOWNLOAD
Author : Larry Wasserman
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-11

All Of Statistics written by Larry Wasserman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-11 with Mathematics categories.


Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.



Advances In Probability And Mathematical Statistics


Advances In Probability And Mathematical Statistics
DOWNLOAD
Author : et at Nina Attridge (Author) Matthew Lnglis (Compiled by Koros Press Editorial Board (Compiler))
language : en
Publisher:
Release Date : 2015

Advances In Probability And Mathematical Statistics written by et at Nina Attridge (Author) Matthew Lnglis (Compiled by Koros Press Editorial Board (Compiler)) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.




Mathematical Statistics


Mathematical Statistics
DOWNLOAD
Author : Jun Shao
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-02-03

Mathematical Statistics written by Jun Shao and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-03 with Mathematics categories.


This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics. The second chapter introduces some fundamental concepts in statistical decision theory and inference. Chapters 3-7 contain detailed studies on some important topics: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapter provide not only practice problems for students, but also many additional results. In addition to improving the presentation, the new edition makes Chapter 1 a self-contained chapter for probability theory with emphasis in statistics. Added topics include useful moment inequalities, more discussions of moment generating and characteristic functions, conditional independence, Markov chains, martingales, Edgeworth and Cornish-Fisher expansions, and proofs to many key theorems such as the dominated convergence theorem, monotone convergence theorem, uniqueness theorem, continuity theorem, law of large numbers, and central limit theorem. A new section in Chapter 5 introduces semiparametric models, and a number of new exercises were added to each chapter.



Probability And Statistical Inference


Probability And Statistical Inference
DOWNLOAD
Author : Miltiadis C. Mavrakakis
language : en
Publisher: CRC Press
Release Date : 2021-03-28

Probability And Statistical Inference written by Miltiadis C. Mavrakakis and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-28 with Mathematics categories.


Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and inference that are fundamental to a proper understanding of data analysis and statistical modelling. It presents these topics in an accessible manner without sacrificing mathematical rigour, bridging the gap between the many excellent introductory books and the more advanced, graduate-level texts. The book introduces and explores techniques that are relevant to modern practitioners, while being respectful to the history of statistical inference. It seeks to provide a thorough grounding in both the theory and application of statistics, with even the more abstract parts placed in the context of a practical setting. Features: •Complete introduction to mathematical probability, random variables, and distribution theory. •Concise but broad account of statistical modelling, covering topics such as generalised linear models, survival analysis, time series, and random processes. •Extensive discussion of the key concepts in classical statistics (point estimation, interval estimation, hypothesis testing) and the main techniques in likelihood-based inference. •Detailed introduction to Bayesian statistics and associated topics. •Practical illustration of some of the main computational methods used in modern statistical inference (simulation, boostrap, MCMC). This book is for students who have already completed a first course in probability and statistics, and now wish to deepen and broaden their understanding of the subject. It can serve as a foundation for advanced undergraduate or postgraduate courses. Our aim is to challenge and excite the more mathematically able students, while providing explanations of statistical concepts that are more detailed and approachable than those in advanced texts. This book is also useful for data scientists, researchers, and other applied practitioners who want to understand the theory behind the statistical methods used in their fields.



Probability And Statistics


Probability And Statistics
DOWNLOAD
Author : Michael J. Evans
language : en
Publisher: WH Freeman
Release Date : 2010-03-01

Probability And Statistics written by Michael J. Evans and has been published by WH Freeman this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-01 with Mathematics categories.


Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor to the course, incorporating the computer and offering an integrated approach to inference that includes the frequency approach and the Bayesian inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout. Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. The new edition includes a number of features designed to make the material more accessible and level-appropriate to the students taking this course today.



40 Puzzles And Problems In Probability And Mathematical Statistics


40 Puzzles And Problems In Probability And Mathematical Statistics
DOWNLOAD
Author : Wolf Schwarz
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-11-25

40 Puzzles And Problems In Probability And Mathematical Statistics written by Wolf Schwarz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-25 with Mathematics categories.


This book is based on the view that cognitive skills are best acquired by solving challenging, non-standard probability problems. Many puzzles and problems presented here are either new within a problem solving context (although as topics in fundamental research they are long known) or are variations of classical problems which follow directly from elementary concepts. A small number of particularly instructive problems is taken from previous sources which in this case are generally given. This book will be a handy resource for professors looking for problems to assign, for undergraduate math students, and for a more general audience of amateur scientists.



Contributions To Probability


Contributions To Probability
DOWNLOAD
Author : J. Gani
language : en
Publisher: Academic Press
Release Date : 2014-05-10

Contributions To Probability written by J. Gani and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Mathematics categories.


Contributions to Probability: A Collection of Papers Dedicated to Eugene Lukacs is a collection of papers that reflect Professor Eugene Lukacs' broad range of research interests. This text celebrates the 75th birthday of Eugene Lukacs, mathematician, teacher, and research worker in probability and mathematical statistics. This book is organized into two parts encompassing 23 chapters. Part I consists of papers in probability theory, limit theorems, and stochastic processes. This part also deals with the continuation and arithmetic of distribution functions, the arc sine law, Fourier transform methods, and nondifferentiality of the Wiener sheet. Part II includes papers in information and statistical theories. This book will prove useful to statisticians, mathematicians, and advance mathematics students.