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Statistics and Data Analysis Andrew F. Siegel

Statistics and Data Analysis By Andrew F. Siegel

Statistics and Data Analysis by Andrew F. Siegel


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Statistics and Data Analysis Summary

Statistics and Data Analysis: An Introduction by Andrew F. Siegel

Introductory statistics book for the non-technical person that integrates the traditional foundations of statistical inference with the more modern ideas of data analysis. The book is divided into three parts. Part One is concerned with data in general and with describing groups of numbers. Part Two develops the ideas of randomness, probability, and statistical inference. Part Three moves forward, applying these ideas to more complex data structures and the analysis of relationships.

About Andrew F. Siegel

Andrew F. Siegel holds the Grant I. Butterbaugh Professorship in Quantitative Methods and Finance at the Michael G. Foster School of Business, University of Washington, Seattle, and is also Adjunct Professor in the Department of Statistics. His Ph.D. is in statistics from Stanford University (1977). Before settling in Seattle, he held teaching and/ or research positions at Harvard University, the University of Wisconsin, the RAND Corporation, the Smithsonian Institution, and Princeton University. He has taught statistics at both undergraduate and graduate levels, and earned seven teaching awards in 2015 and 2016. The interest-rate model he developed with Charles Nelson (the Nelson-Siegel Model) is in use at central banks around the world. His work has been translated into Chinese and Russian. His articles have appeared in many publications, including the Journal of the American Statistical Association, the Encyclopedia of Statistical Sciences, the American Statistician, Proceedings of the National Academy of Sciences, Nature, the American Mathematical Monthly, the Journal of the Royal Statistical Society, the Annals of Statistics, the Annals of Probability, the Society for Industrial and Applied Mathematics Journal on Scientific and Statistical Computing, Statistics in Medicine, Biometrika, Biometrics, Statistical Applications in Genetics and Molecular Biology, Mathematical Finance, Contemporary Accounting Research, the Journal of Finance, and the Journal of Applied Probability.

Table of Contents

DESCRIBING GROUPS OF NUMBERS.

The Shape of a Group of Numbers.

Describing Distributions.

Describing a Normal Distribution and Summarizing Binary Data.

Basics of Data Transformation.

Choosing a Description.

PROBABILITY, SAMPLING, AND TESTS OF STATISTICAL SIGNIFICANCE.

Probability.

Random Variables, Probability Distributions, and the Central Limit Theorem.

Toward Statistical Inference.

Confidence Intervals.

Testing a Hypothesis About the Mean.

MORE THAN ONE GROUP OF NUMBERS.

Comparing Two Groups of Numbers.

Analysis of Variance: Several Groups of Numbers.

Categorical Data and Chi-Square Analysis.

Bivariate Data and Regression.

Appendices.

Notes.

References.

Answers to Selected Problems.

Index.

Additional information

CIN0471293326G
9780471293323
0471293326
Statistics and Data Analysis: An Introduction by Andrew F. Siegel
Used - Good
Paperback
John Wiley and Sons Ltd
1998-02-12
656
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in good condition, but if you are not entirely satisfied please get in touch with us

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