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Statistical Inference in Linear Models

Posted By: AvaxGenius
Date: 26 Feb 2024 07:44:18
Statistical Inference in Linear Models

Statistical Inference in Linear Models by Sandra Ferreira
English | PDF | 2024 | 224 Pages | ISBN : N/ | 11.8 MB

Linear models are statistical models that play a crucial role in several fields of science and are of practical importance in statistics. Their most typical type is the linear regression model. Many phenomena, such as those in biology, medicine, economics, management, geology, meteorology, agriculture, and industry, can be approximately described with linear models. Moreover, the further research and development of linear models is still a hot research topic.
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Introductory Statistical Inference with the Likelihood Function

Posted By: AvaxGenius
Date: 29 Sep 2023 13:30:34
Introductory Statistical Inference with the Likelihood Function

Introductory Statistical Inference with the Likelihood Function by Charles A. Rohde
English | PDF (True) | 2014 | 341 Pages | ISBN : 3319104608 | 2.5 MB

This textbook covers the fundamentals of statistical inference and statistical theory including Bayesian and frequentist approaches and methodology possible without excessive emphasis on the underlying mathematics. This book is about some of the basic principles of statistics that are necessary to understand and evaluate methods for analyzing complex data sets. The likelihood function is used for pure likelihood inference throughout the book. There is also coverage of severity and finite population sampling. The material was developed from an introductory statistical theory course taught by the author at the Johns Hopkins University’s Department of Biostatistics. Students and instructors in public health programs will benefit from the likelihood modeling approach that is used throughout the text. This will also appeal to epidemiologists and psychometricians. After a brief introduction, there are chapters on estimation, hypothesis testing, and maximum likelihood modeling. The book concludes with sections on Bayesian computation and inference. An appendix contains unique coverage of the interpretation of probability, and coverage of probability and mathematical concepts.
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Design of Observational Studies (Repost)

Posted By: AvaxGenius
Date: 16 Aug 2023 13:33:29
Design of Observational Studies (Repost)

Design of Observational Studies by Paul R. Rosenbaum
English | PDF | 2010 | 232 Pages | ISBN : 1461424860 | 2.3 MB

An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies.
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Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science

Posted By: AvaxGenius
Date: 6 Aug 2023 14:13:15
Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science

Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science: Volume II Foundations and Philosophy of Statistical Inference by William Leonard Harper, Clifford Alan Hooker
English | PDF | 1976 | 436 Pages | ISBN : 9027706182 | 42.5 MB

In May of 1973 we organized an international research colloquium on foundations of probability, statistics, and statistical theories of science at the University of Western Ontario. During the past four decades there have been striking formal advances in our understanding of logic, semantics and algebraic structure in probabilistic and statistical theories. These advances, which include the development of the relations between semantics and metamathematics, between logics and algebras and the algebraic-geometrical foundations of statistical theories (especially in the sciences), have led to striking new insights into the formal and conceptual structure of probability and statistical theory and their scientific applications in the form of scientific theory.
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Tools for Statistical Inference (Repost)

Posted By: AvaxGenius
Date: 6 Aug 2023 13:57:21
Tools for Statistical Inference (Repost)

Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions by Martin A. Tanner
English | PDF | 1996 | 215 Pages | ISBN : 0387946888 | 14.3 MB

This book provides a unified introduction to a variety of computational algorithms for Bayesian and likelihood inference. In this third edition, I have attempted to expand the treatment of many of the techniques discussed. I have added some new examples, as well as included recent results. Exercises have been added at the end of each chapter. Prerequisites for this book include an understanding of mathematical statistics at the level of Bickel and Doksum (1977), some understanding of the Bayesian approach as in Box and Tiao (1973), some exposure to statistical models as found in McCullagh and NeIder (1989), and for Section 6. 6 some experience with condi­ tional inference at the level of Cox and Snell (1989). I have chosen not to present proofs of convergence or rates of convergence for the Metropolis algorithm or the Gibbs sampler since these may require substantial background in Markov chain theory that is beyond the scope of this book. However, references to these proofs are given. There has been an explosion of papers in the area of Markov chain Monte Carlo in the past ten years. I have attempted to identify key references-though due to the volatility of the field some work may have been missed.
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Research Papers in Statistical Inference for Time Series and Related Models: Essays in Honor of Masanobu Taniguchi

Posted By: AvaxGenius
Date: 3 Jun 2023 11:26:46
Research Papers in Statistical Inference for Time Series and Related Models: Essays in Honor of Masanobu Taniguchi

Research Papers in Statistical Inference for Time Series and Related Models: Essays in Honor of Masanobu Taniguchi by Yan Liu, Junichi Hirukawa, Yoshihide Kakizawa
English | PDF (True) | 2023 | 591 Pages | ISBN : 9819908027 | 24.4 MB

This book compiles theoretical developments on statistical inference for time series and related models in honor of Masanobu Taniguchi's 70th birthday. It covers models such as long-range dependence models, nonlinear conditionally heteroscedastic time series, locally stationary processes, integer-valued time series, Lévy Processes, complex-valued time series, categorical time series, exclusive topic models, and copula models. Many cutting-edge methods such as empirical likelihood methods, quantile regression, portmanteau tests, rank-based inference, change-point detection, testing for the goodness-of-fit, higher-order asymptotic expansion, minimum contrast estimation, optimal transportation, and topological methods are proposed, considered, or applied to complex data based on the statistical inference for stochastic processes.
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Probability and Statistical Inference Volume 1: Probability

Posted By: AvaxGenius
Date: 21 Oct 2022 10:31:09
Probability and Statistical Inference Volume 1: Probability

Probability and Statistical Inference Volume 1: Probability by J. G. Kalbfleisch
English | PDF | 1985 | 355 Pages | ISBN : 0387961445 | 23.8 MB

This book is in two volumes, and is intended as a text for introductory courses in probability and statistics at the second or third year university level. It emphasizes applications and logical principles rather than math­ ematical theory. A good background in freshman calculus is sufficient for most of the material presented. Several starred sections have been included as supplementary material. Nearly 900 problems and exercises of varying difficulty are given, and Appendix A contains answers to about one-third of them.
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Probability and Statistical Inference, Third Edition

Posted By: AvaxGenius
Date: 13 Oct 2022 02:57:40
Probability and Statistical Inference, Third Edition

Probability and Statistical Inference, Third Edition by Magdalena Niewiadomska-Bugaj, Robert Bartoszynski
English | PDF | 2021 | 584 Pages | ISBN : 1119243807 | 6.7 MB

Updated classic statistics text, with new problems and examples
Probability and Statistical Inference, Third Edition helps students grasp essential concepts of statistics and its probabilistic foundations. This book focuses on the development of intuition and understanding in the subject through a wealth of examples illustrating concepts, theorems, and methods. The reader will recognize and fully understand the why and not just the how behind the introduced material.
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Comparative Statistical Inference, Third Edition

Posted By: AvaxGenius
Date: 13 Oct 2022 02:18:09
Comparative Statistical Inference, Third Edition

Comparative Statistical Inference, Third Edition by Vic Barnett
English | PDF | 1999 | 400 Pages | ISBN : 0471976431 | 9.5 MB

This fully updated and revised third edition, presents a wide ranging, balanced account of the fundamental issues across the full spectrum of inference and decision-making. Much has happened in this field since the second edition was published: for example, Bayesian inferential procedures have not only gained acceptance but are often the preferred methodology. This book will be welcomed by both the student and practising statistician wishing to study at a fairly elementary level, the basic conceptual and interpretative distinctions between the different approaches, how they interrelate, what assumptions they are based on, and the practical implications of such distinctions.
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Introduction to Statistical Inference

Posted By: AvaxGenius
Date: 26 Jun 2022 18:45:38
Introduction to Statistical Inference

Introduction to Statistical Inference by Jack Carl Kiefer
English | PDF | 1987 | 342 Pages | ISBN : 1461395801 | 69.2 MB

This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. The notes were distributed to the class in lieu of a textbook, and the problems were used for homework assignments. Relying only on modest prerequisites of probability theory and cal­ culus, Kiefer's approach to a first course in statistics is to present the central ideas of the modem mathematical theory with a minimum of fuss and formality.
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Scientific Data Mining and Knowledge Discovery: Principles and Foundations

Posted By: AvaxGenius
Date: 20 Jun 2022 01:47:42
Scientific Data Mining and Knowledge Discovery: Principles and Foundations

Scientific Data Mining and Knowledge Discovery: Principles and Foundations by Mohamed Medhat Gaber
English | PDF | 2009 | 398 Pages | ISBN : 3642027873 | 7.9 MB

With the evolution in data storage, large databases have stimulated researchers from many areas, especially machine learning and statistics, to adopt and develop new techniques for data analysis in different fields of science. In particular, there have been notable successes in the use of statistical, computational, and machine learning techniques to discover scientific knowledge in the fields of biology, chemistry, physics, and astronomy. With the recent advances in ontologies and knowledge representation, automated scientific discovery (ASD) has further, great prospects in the future.
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All of Statistics: A Concise Course in Statistical Inference

Posted By: AvaxGenius
Date: 11 Mar 2022 21:55:47
All of Statistics: A Concise Course in Statistical Inference

All of Statistics: A Concise Course in Statistical Inference by Larry Wasserman
English | PDF | 2004 | 446 Pages | ISBN : 1441923225 | 23.3 MB

This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining and machine learning.
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Simultaneous Statistical Inference: With Applications in the Life Sciences (Repost)

Posted By: AvaxGenius
Date: 25 Aug 2021 14:38:41
Simultaneous Statistical Inference: With Applications in the Life Sciences (Repost)

Simultaneous Statistical Inference: With Applications in the Life Sciences by Thorsten Dickhaus
English | EPUB | 2014 | 180 Pages | ISBN : 3642451810 | 3.3 MB

This monograph will provide an in-depth mathematical treatment of modern multiple test procedures controlling the false discovery rate (FDR) and related error measures, particularly addressing applications to fields such as genetics, proteomics, neuroscience and general biology. The book will also include a detailed description how to implement these methods in practice. Moreover new developments focusing on non-standard assumptions are also included, especially multiple tests for discrete data. The book primarily addresses researchers and practitioners but will also be beneficial for graduate students.
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Coursera - Statistical Inference by Johns Hopkins University

Posted By: kabino
Date: 17 Mar 2021 16:59:41
Coursera - Statistical Inference by Johns Hopkins University

Coursera - Statistical Inference by Johns Hopkins University
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 685.95 Mb
Genre: eLearning Video | Duration: 5h 9m | Language: English

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance.
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Essentials of Statistical Inference

Posted By: arundhati
Date: 8 Feb 2021 14:25:51
Essentials of Statistical Inference

G. A. Young, "Essentials of Statistical Inference "
English | ISBN: 0521548667 | 2010 | 236 pages | PDF | 2 MB
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