Statistical Inference

If you’re a data scientist ready to tackle statistical and machine learning techniques across large data sets, this practical guide provides a solid introduction to the world of clustered computing an

A greatly expanded and heavily revised second edition, this popular guide provides instructions and clear examples for running analyses of variance (ANOVA) and several other related statistical tests

This textbook introduces essential topics and techniques in production and efficiency analysis and shows how to apply these methods using the statistical software R. Numerous small simulations lead to

?This book presents a new statistical method of constructing a price index of a financial asset where the price distributions are skewed and heavy-tailed and investigates the effectiveness of the meth

This book explores the reliability of official statistical data in the ASEAN (the Association of Southeast Asian Nations), and the benefits of a better vocabulary to discuss the quality of publicly av

Statistics, Data, and Statistical Thinking; Methods for Describing Sets of Data; Probability; Discrete Random Variables; Continuous Random Variables; Sampling Distributions; Inferences Based on a Sing

Volume I presents fundamental, classical statistical concepts at the doctorate level without using measure theory. It gives careful proofs of major results and explains how the theory sheds light on t

An insight into statistics is a comprehensive introduction to probability theory and statistical methods in the social sciences. The book forms the basis for empirical studies within disciplines such

Load, wrangle, and analyze your data using the world's most powerful statistical programming languageAbout This BookLoad, manipulate and analyze data from different sourcesGain a deeper understanding

Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect data for user modeling and system design. This comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth discussions of current state-of-the-art methods such as adaptive sequential designs (multi-armed bandit methods), bilinear random-effects models (matrix factorization) and scalable model fitting using modern computing paradigms like MapReduce. The authors draw upon their vast experience working with such large-scale systems at Yahoo! and LinkedIn, and bridge the gap between theory and practice by illustrating complex concepts with examples

International Debt Statistics (IDS) 2016 (formerly Global Development Finance) provides statistical tables showing the external debt of 125 developing countries that report public and publicly guarant

Real Stats offers an engaging and practical introduction to statistical analysis for upper-level undergraduates and first-year graduate students in political science, public policy, and law. Grounded

"A funny, poetic, big-hearted reminder that life can—and will—take us all by surprise.”—Jennifer E. Smith, The Statistical Probability of Love at First SightCan the best thing happen at the w

This book presents the major statistical concepts, methods and designs, and their analyses in simple, easily accessible language.Statistics for Behavioural and Social Sciences offers an integrated app

This microanalysis of population levels among Protestant dissenters in England during an era of evangelical revival uses advanced statistical methodologies to examine the demographic effects of religi

This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volume includes chapter contributio

Perfect simulation methods, also known as perfect sampling methods, are algorithms that draw random variates from complex physical and statistical models. These methods are used in MCMC simulation to

The SAGE Dictionary of Statistics & Methodology provides a comprehensive listing, definition, and explanation of modern statistical methods. It is invaluable as a reference, not just to resear

Categorical data are abundant in applied research (e.g. gender, ethnicity, socioeconomic status, educational attainment). Students and researchers are increasingly interested in performing statistical

OECD Factbook 2015 is a comprehensive annual statistical publication. More than 100 indicators cover a wide range of areas: agriculture, economic production, education, energy, environment, foreign ai

Big Data is about the collection, storage, search, distribution, statistical analysis and visualization of large amounts of data. This is especially relevant in healthcare management, as the amount of

R is the world's most popular programming language for data analysis and statistical modeling.The Book of R provides an in-depth, beginner-friendly guide to the R language, and teaches you how to use

Crime Analysis in Financial Markets: Forensic Statistics and Case Studies explores statistical methods and data mining techniques that, if used correctly, can help with crime detection and prevention.

This volume of the yearbook provides statistical tables of information in the other five volumes, which profile non-profit international organizations, both non-governmental and intergovernmental. It

For medical and health workers this book is a must-have, because statistical methods in these fields are vital, and no equivalent work is available. For medical and health students this is equally tru

This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social science

The definitive one-volume guide to all sub-Saharan African countries, providing invaluable economic, political, statistical and directory data.General SurveyThoroughly revised and updated analytical a

The Medium of Contingency brings a completely new and original perspective to the relationship between the reality of the marketplace and its disassociation with the probabilistic and statistical tool

This two-volume set combines theoretical and statistical physics ideas on convective parameterization with a wealth of information on the practical and operational use of parameterizations in weather

This sophisticated package of statistical methods is for advanced master's (MPH) and PhD students in public health and epidemiology who are involved in the analysis of data. It makes the link from statistical theory to data analysis, focusing on the methods and data types most common in public health and related fields. Like most toolboxes, the statistical tools in this book are organized into sections with similar objectives. Unlike most toolboxes, however, these tools are accompanied by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls - conveying skills, intuition, and experience. The only prerequisite is a first-year statistics course and familiarity with a computing package such as R, Stata, SPSS, or SAS. Though the book is not tied to a particular computing language, its figures and analyses were all created using R. Relevant R code, data sets, and links to public data sets are available from www.cambridge.org/97811071130

Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently devel

This volume focuses on modern computational and statistical tools for translational gene expression and regulation research to improve prognosis, diagnostics, prediction of severity, and therapies for

Chinaa€?s rise as an economic superpower has been inescapable. Statistical hyperbole has been accompanied by a plethora of highly publicized architectural forms that brand the regeneration of its incr

The Birnbaum-Saunders Distribution presents the statistical theory, methodology, and applications of the Birnbaum-Saunders distribution, a very flexible distribution for modeling different types of da

This book serves as a practical guide to methods and statistics in medical research. It includes step-by-step instructions on using SPSS software for statistical analysis, as well as relevant examples

This book is a study of collective efficacy in eight neighborhoods in Miami-Dade County, Florida. Using residential surveys, observations, and new methods of statistical and mapping analysis (kriging)

Two cutting-edge guides for the theories, applications, and statistical methodologies essential to operational risk and heavy tailed risk modelingFocusing on the quantitative aspects of heavy tailed l

Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods. The individual contributions

The recent publication of the revised Diagnostic and Statistical Manual of Mental Disorders (DSM-5) has had a profound impact on the classification of eating disorders, introducing changes that were f

Baseball brings them together—but will his secret keep them apart? Find out in this heartbreakingly beautiful novel from Jennifer E. Smith, author ofThe Statistical Probability of Love at First Sight.