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Advanced Statistics from an Elementary Point of View
 
 

Advanced Statistics from an Elementary Point of View [Hardcover]

Michael J Panik (Author)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

0120884941 978-0120884940 October 14, 2005 1
The highly readable text captures the flavor of a course in mathematical statistics without imposing too much rigor; students can concentrate on the statistical strategies without getting lost in the theory.
Students who use this book will be well on their way to thinking like a statistician. Practicing statisticians will find this book useful in that it is replete with statistical test procedures (both parametric and non-parametric) as well as numerous detailed examples.

· Comprehensive coverage of descriptive statistics
· More detailed treatment of univariate and
bivariate probability distributions
· Thorough coverage of probability theory with
numerous event classifications

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Editorial Reviews

Review

"I like the fact that this text contains information about descriptive statistics and sampling techniques...I also thought the discussion of limit laws was well-written. This text is a nice blend of applications and theory without focusing on proofs."
-Laura McSweeney, Fairfield University

"The main strength of the book is the great length that this author is willing to go in explaining concepts...This text covers quite a breadth of topics. With this text, it would be easy to use some of the sections that I would not cover in class."
-Christopher Mecklin, Murray State University

"The topics are comprehensive, there are thorough explanations, a good number of worked out examples, and clearly written proofs...including proofs that are not usually seen at this level. The contents are appealing."
-Pierre Grillet, Tulane University

-"Panik's goal is to make the book very accessible, and in this goal he succeeds. His exposition is quite clear and I found ti quite easy to follow his many examples."
-MAA REVIEWS

Book Description

Clearly explains concepts and stategies in mathematical statistics

Product Details

  • Hardcover: 824 pages
  • Publisher: Academic Press; 1 edition (October 14, 2005)
  • Language: English
  • ISBN-10: 0120884941
  • ISBN-13: 978-0120884940
  • Product Dimensions: 9.3 x 7.9 x 1.1 inches
  • Shipping Weight: 2.8 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,241,274 in Books (See Top 100 in Books)

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4 of 6 people found the following review helpful:
5.0 out of 5 stars good introduction to mathematical statistics, April 10, 2006
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This review is from: Advanced Statistics from an Elementary Point of View (Hardcover)
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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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
sampling scenarios, counting rules, sample moments, assessing normality, distributed sample random variables, standard normal area table, minimum variance bound estimator, family confidence coefficient, bivariate probability mass function, absolute frequency distribution, statement confidence coefficient, population probability density function, powerful critical region, parametric probability distributions, beta cumulative distribution function, legitimate probability density function, independent binomial populations, joint bivariate distribution, two independent normal populations, independent sample random variables, joint bivariate normal distribution, best critical region, descriptive statistical techniques, population regression line, sample regression line
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Tests of Parametric Statistical Hypotheses, Testing Goodness of Fit, Neyman-Pearson Lemma, Continuous Parametric Probability Distributions, Small Sample Properties of Point Estimators, Bivariate Probability Distributions, Discrete Parametric Probability Distributions, Central Limit Theorem, Probability Theory, Elementary Descriptive Statistical Techniques, Chebyshev's Theorem, Contingency Tables, Quantitative Summary Characteristics, The Multinomial Chi-Square Statistic, Two Dependent Populations, Large Sample Properties of Point Estimators, The Normal Approximation, Generalized Likelihood Ratio Tests, Suppose Xis, The Exponential Distribution, Hence the Case, Measuring Strength of Association, Case I-reject, The Sampling Distribution of the Variance, Levels of Discourse
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Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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