ａｎ - Statistics 1

Relevant, engaging, and packed with student-focused learning features, this book provides the basic step-by-step introduction to quantitative research and data every student needs. Gradually introdu……続きを見る

An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis. John Fox and Sanford Weisberg provide a step-by……続きを見る

This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real marketing questions, organized by key topic areas. Following ……続きを見る

Population-based survey experiments have become an invaluable tool for social scientists struggling to generalize laboratory-based results, and for survey researchers besieged by uncertainties about……続きを見る

This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It……続きを見る

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and app……続きを見る

Experimental and Quasi-Experimental Designs for Research DONALD T. CAMPBELL Northwestern University JULIAN C. STANLEY Johns Hopkins University In this chapter we shall examine the validity of 16 ……続きを見る

This book deals with the theoretical, methodological, and empirical implications of bounded rationality in the operation of institutions. It focuses on decisions made under uncertainty, and presents……続きを見る

With an exciting new look, new characters to meet, and its unique combination of humour and step-by-step instruction, this award-winning book is the statistics lifesaver for everyone. From initial t……続きを見る

This open access book presents a person-centered exploration of student profiles, using variables related to motivation to do school mathematics derived from the IEA’s Trends in International Mathem……続きを見る

This book explores the emergence and development of the legal concept of fair and equitable benefit-sharing, and its application in agriculture. Developed in the 1990s, the concept of fair and equit……続きを見る

Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more power……続きを見る

This book describes the shortage of girls and women in present day China and focuses on two important features: the sex imbalance in childhood and youth, and the excess mortality of women at various……続きを見る

Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows ……続きを見る

Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, il……続きを見る

Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary wh……続きを見る

This work provides clear application of a new statistical modeling technique that can be used to recognize patterns in victimization and prevent repeat victimization. The history of crime prevention……続きを見る

A sustainable city enables the fulfillment of the mobility needs of its citizens via accessible, reliable and safe transportation systems. Safety is one of many factors influencing the mobility of i……続きを見る

A no-nonsense practical guide to statistics, providing concise summaries, clear model examples, and plenty of practice, making this workbook the ideal complement to class study or self-study, prepar……続きを見る

Making Sense of Statistical Methods in Social Research is a critical introduction to the use of statistical methods in social research. It provides a unique approach to statistics that concentrates ……続きを見る

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In the Second Edition of this bestselling textbook, the authors use real-world examples to introduce basic principles in statistics with no prior knowledge or experience assumed. With an emphasis on……続きを見る

A concise, easily accessible introduction to descriptive and inferential techniques Statistical Inference: A Short Course offers a concise presentation of the essentials of basic statistics for read……続きを見る

**A New York Times Bestseller An audacious, irreverent investigation of human behaviorーand a first look at a revolution in the making** Our personal data has been used to spy on us, hire and fire u……続きを見る

A “how to” guide for applying statistical methods to biomarker data analysis Presenting a solid foundation for the statistical methods that are used to analyze biomarker data, Analysis of Biomarker ……続きを見る

This book provides an introduction to test equating, scaling and linking, including those concepts and practical issues that are critical for developers and all other testing professionals. In addit……続きを見る

This volume covers the commonly ignored topic of heteroskedasticity (unequal error variances) in regression analyses and provides a practical guide for how to proceed in terms of testing and correct……続きを見る

Finally, an introductory statistics text that provides broad coverage, limited theory, clear explanations, plenty of practice opportunities, and examples that engage today′s students! Using General ……続きを見る

Bare-Bones R provides a practical, hands-on introduction to the elements of R and R Commander. Assuming no background in computer programming, author Thomas P. Hogan guides the novice in using these……続きを見る

Requiring no prior knowledge of correspondence analysis, this text provides a nontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right. The authors, Brigitte ……続きを見る