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Customer tags: statistics(2), sampling(2), math, probability, case history, analysis, cluster sampling, nonfiction, mathematics, random sampling, acceptance sampling, logic
Learn statistics the easy way with STATISTICS UNPLUGGED! Easy-to-understand and student-friendly, this practical text takes the intimidation out of statistics and helps you understand the relevance of statistics to your own life. Learning checks found throughout each chapter ensure that you comprehend the material and ¬end-of-chapter problems give you the opportunity to review what you have learned. Reader-friendly examples are found throughout the book, so that you can focus on what is really going on with the numbers instead of being overwhelmed by the numbers themselves. Read more
This book examines the fundamental mathematical and stochastic process techniques needed to study the behavior of extreme values of phenomena based on independent and identically distributed random variables and vectors. It emphasizes the core primacy of three topics necessary for understanding extremes: the analytical theory of regularly varying functions; the probabilistic theory of point processes and random measures; and the link to asymptotic distribution approximations provided by the theory of weak convergence of probability measures in metric spaces.
Read moreThe essentials of regression analysis through practical applications
Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgement. Regression Analysis by Example, Fourth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The book offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression.
This new edition features the following enhancements:
This book aims to fill the gaps in the typical student's mathematical training to the extent relevant for the study of econometrics. In most cases, proofs are provided and there is a verbal discussion of certain mathematical results.
This book aims to fill the gaps in the typical student's mathematical training to the extent relevant for the study of econometrics. In most cases, proofs are provided and there is a verbal discussion of certain mathematical results.
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