Advanced Statistics from an Elementary Point of View

Other | October 1, 2005

byPanik, Michael J, Michael J Panik

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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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From the Publisher

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...

Format:OtherDimensions:824 pages, 1 × 1 × 1 inPublished:October 1, 2005Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0080570305

ISBN - 13:9780080570303

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Extra Content

Table of Contents

1 Introduction
2 Elementary Descriptive Statistical Techniques
4 Random Variables and Probability Distributions
5 Bivariate Probability Distributions
6 Discrete Parametric Probability Distributions
7 Continuous Parametric Probability Distributions
8 Sampling and the Sampling Distribution of a Statistic
9 The Chi-Square, Student's t, and Snedecor's F Distributions
10 Point Estimation and Properties of Point Estimators
11 Interval Estimation and Confidence Interval Estimates
12 Tests of Parametric Statistical Hypotheses
13 Nonparametric Statistical Techniques
14 Testing Goodness of Fit
15 Testing Goodness of Fit: Contingency Tables
16 Bivariate Linear Regression and Correlation
Appendix A
Successive Difference to the Variance
Solutions to Selected Exercises
References and Suggested Reading
Index