Advanced Statistics from an Elementary Point of View 1st Edition by Michael Panik (PDF)

Description

Advanced Statistics from an Elementary Point of View is a highly readable text that communicates the content of a course in mathematical statistics without imposing too much rigor. It clearly emphasizes the connection between statistics and probability, and helps students concentrate on statistical strategies without being overwhelmed by calculations.The book provides comprehensive coverage of descriptive statistics; detailed treatment of univariate and bivariate probability distributions; and thorough coverage of probability theory with numerous event classifications.This book is designed for statistics majors who are already familiar with introductory calculus and statistics, and can be used in either a one- or two-semester course. It can also serve as a statistics tutorial or review for working professionals.Students who use this book will be well on their way to thinking like a statistician in terms of problem solving and decision-making. Graduates who pursue careers in statistics will continue to find this book useful, due to numerous statistical test procedures (both parametric and non-parametric) and detailed examples.Comprehensive coverage of descriptive statisticsMore detailed treatment of univariate and bivariate probability distributionsThorough coverage of probability theory with numerous event classifications

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐Great book. Breaks everything down step by step

⭐I purchased this book to supplement the textbook (Introduction to Probability and Mathematical Statistics, Bain & EngelHardt) used in a mathematical statistics course. Panik’s book provides theory, but it also spends a lot of time explaining what the theory actually means. At times he also provides a list of observations about the topic discussed in that section. There are more topics covered than what I have seen in undergraduate mathematical statistics books, but not always in the depth (i.e., difficulty) presented in Bain & EngelHardt. If your understanding of statistics is at the level discussed in Statistical Inference (Casella & Berger), then you will find Panik’s book to be too wordy. In order of difficulty, from easiest to hardest, I would rank these three books as Panik, Bain & EngelHardt, and Casella & Berger.

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