Introduction to Bayesian Statistics

This is a book about the ideas that drive statistics. It is an ideal primer for students who need an introduction to the concepts of statistics without the added confusion of technical jargon and math

Straightforward Statistics: Understanding the Tools of Research is a clear and direct introduction to statistics for the social, behavioral, and life sciences. Based on Glenn Geher's extensive experie

Praise for the First Edition"…[t]he book is great for readers who need to apply the methods and models presented but have little background in mathematics and statistics." -MAA Revie

Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields

The 5 Things You Need to Know about Statistics provides an accessible introduction to statistical thinking for anthropologists and other social scientists who feel some mixture of dread and loathing w

The 5 Things You Need to Know about Statistics provides an accessible introduction to statistical thinking for anthropologists and other social scientists who feel some mixture of dread and loathing w

Employing the hallmark pedagogical support of his successful comprehensive text, award-winning author, teacher, and advisor Gregory J. Privitera offers a brief and engaging introduction to the field w

The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design,

This book introduces algebraic, combinatorial, and geometric methods for hidden tree models. It presents a focused introduction to some concepts in algebraic statistics and shows how the methods can b

There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis obtainable to a wide audience. Doing Bayesian Dat

Providing a novel approach to sparsity, this comprehensive book presents the theory of stochastic processes that are ruled by linear stochastic differential equations, and that admit a parsimonious representation in a matched wavelet-like basis. Two key themes are the statistical property of infinite divisibility, which leads to two distinct types of behaviour - Gaussian and sparse - and the structural link between linear stochastic processes and spline functions, which is exploited to simplify the mathematical analysis. The core of the book is devoted to investigating sparse processes, including a complete description of their transform-domain statistics. The final part develops practical signal-processing algorithms that are based on these models, with special emphasis on biomedical image reconstruction. This is an ideal reference for graduate students and researchers with an interest in signal/image processing, compressed sensing, approximation theory, machine learning, or statistic

"Starting out in Statistics aims to provide an accessible book on a topic that many students find difficult. It includes modern, up-to-date methodology and is illustrated throughout with current examp

HIGHLIGHTS THE USE OF BAYESIAN STATISTICS TO GAIN INSIGHTS FROM EMPIRICAL DATAFeaturing an accessible approach, Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems demo

From the basics to the forefront of modern research, this book presents all aspects of probability theory, statistics and data analysis from a Bayesian perspective for physicists and engineers. The book presents the roots, applications and numerical implementation of probability theory, and covers advanced topics such as maximum entropy distributions, stochastic processes, parameter estimation, model selection, hypothesis testing and experimental design. In addition, it explores state-of-the art numerical techniques required to solve demanding real-world problems. The book is ideal for students and researchers in physical sciences and engineering.

This updated, bestselling book continues to be one of the only Bayesian statistics texts designed for social scientists. Incorporating new research and additional material, the third edition presents

Straightforward Statistics: Understanding the Tools of Research is a clear and direct introduction to statistics for the social, behavioral, and life sciences. Based on the author's extensive experien

An Introduction to Measure-Theoretic Probability, Second Edition, employs a classical approach to teaching students of statistics, mathematics, engineering, econometrics, finance, and other discipline

With new chapters on data analysis and multi-level models, and fresh exercises in SPSS and Stata, this fourth edition provides a solid introduction to the topic. Real-life examples show how statistica

This introduction to the world of statistics covers exploratory data analysis, methods for collecting data, formal statistical inference, and techniques of regression and analysis of variance. 1983 ed

Nielsen and Slatkin (both U. of California-Berkeley) present a textbook they developed in and for a one-semester undergraduate course in population genetics. Students should have some basic knowledge of biology and genetics, they say, and not be afraid of quantitative thinking. Assuming only basic algebra, they introduce some ideas from probability and statistics that are an integral part of modern population genetics. The topics include genetic drift and mutation, population subdivision, selection, the neutral theory and tests of neutrality, and quantitative genetics. Annotation c2013 Book News, Inc., Portland, OR (booknews.com)

This straightforward, concise, conversational introduction to statistics presents a plain-and-simple overview of statistics that is sparing in its use of jargon. Readers develop a strong awareness of

The introduction to statistics that psychology students can't afford to be withoutUnderstanding statistics is a requirement for obtaining and making the most of a degree in psychology, a fact of life

Need to learn statistics for your job? Want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject. Thoroughly revis

Provides an accessible foundation to Bayesian analysis using real world modelsThis book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn fr

This is an updated and expanded second edition intended to meet the needs of ecologists and environmental scientists for an introduction to probability theory and a detailed description of designs and

Ideal for social science courses in game theory and research methods, Introduction to Game Theory: A Behavioral Approach explains basic game theory concepts--up to and including Bayesian Nash equilibr

Astronomy needs statistical methods to interpret data, but statistics is a many-faceted subject that is difficult for non-specialists to access. This handbook helps astronomers analyze the complex data and models of modern astronomy. This second edition has been revised to feature many more examples using Monte Carlo simulations, and now also includes Bayesian inference, Bayes factors and Markov chain Monte Carlo integration. Chapters cover basic probability, correlation analysis, hypothesis testing, Bayesian modelling, time series analysis, luminosity functions and clustering. Exercises at the end of each chapter guide readers through the techniques and tests necessary for most observational investigations. The data tables, solutions to problems, and other resources are available online at www.cambridge.org/9780521732499. Bringing together the most relevant statistical and probabilistic techniques for use in observational astronomy, this handbook is a practical manual for advanced und

Nicholson (mathematics and statistics, U. of Calgary, Canada) updates the 2007 edition of his self-contained introduction to the basic structures of abstract algebra: groups, rings, and fields. It is

This comprehensive, flexible text is used in both one- and two-semester courses to review introductory through intermediate statistics. Instructors select the topics that are most appropriate for thei

"This book offers an introduction to descriptive and inferential statistics tailored to the teaching and research needs of K-8 educators. Using statistics to tell a story, veteran teacher educator Rob

"This book offers an introduction to descriptive and inferential statistics tailored to the teaching and research needs of K-8 educators. Using statistics to tell a story, veteran teacher educator Rob

Accessible to students in statistics and industrial engineering, this text presents a systematic introduction to traditional and modern SPC methods. Requiring some background in basic linear algebra,

Although the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not focused on practical issues, or generally too difficult to u

PROBABILITY AND STATISTICS FOR ENGINEERS provides a one-semester, calculus-based introduction to engineering statistics that focuses on making intelligent sense of real engineering data and interpreti

This book is the first comprehensive introduction to the multidisciplinary field of natural image statistics and its intention is to present a general theory of early vision and image processing in a

Any practical introduction to statistics in the life sciences requires a focus on applications and computational statistics combined with a reasonable level of mathematical rigor. It must offer the ri

PROBABILITY AND STATISTICS FOR ENGINEERS provides a one-semester, calculus-based introduction to engineering statistics that focuses on making intelligent sense of real engineering data and interpreti

Designed for a one-semester course, Applied Statistics for Business and Economics offers students in business and the social sciences an effective introduction to some of the most basic and powerful t

Statistics: A Simple Guide for Students is an accessible, humourous and easy introduction to statistics for social science students. In this refreshing book, experienced author and academic Neil

Statistics: A Simple Guide for Students is an accessible, humourous and easy introduction to statistics for social science students. In this refreshing book, experienced author and academic Neil