<span>This book is intended for use as the textbook in a second course in applied statistics that covers topics in multiple regression and analysis of variance at an intermediate level. Generally, students enrolled in such courses are p- marily graduate majors or advanced undergraduate students from
Statistics and data analysis : from elementary to intermediate
โ Scribed by Ajit C. Tamhane; Dorothy D. Dunlop
- Publisher
- Prentice Hall
- Year
- 2000
- Tongue
- English
- Leaves
- 736
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book provides a one-year calculus-based coverage of statistics and data analysis
that spans from the very beginnings of the subject to intermediate level topics in mathematical statistics. We wrote this book with two main goals in mind. The first goal is to
introduce the basic concepts and commonly used methods of statistics in a unified manner with sound explanations of when and how to use the methods and why they work
(including mathematical derivations given in separate sections marked with asterisks).
The second goal is to demonstrate diverse applications of the methods to a wide range
of disciplines.
The book is primarily intended for junior and senior level undergraduates. Some of
the more advanced topics in the book, especially the final chapter on the likelihood,
Bayesian, and decision theory methods, can f onn a one-semester survey course for
graduate students with good mathematical backgrounds. We have used the preliminary
drafts of the book for both such undergraduate and graduate courses at Northwestern
University.
๐ SIMILAR VOLUMES
<p><P>This book is an integrated treatment of applied statistical methods, presented at an intermediate level, and the SAS programming language. It serves as an advanced introduction to SAS as well as how to use SAS for the analysis of data arising from many different experimental and observational
This book introduces you to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide you through an intuition-based learning process that stresses interpretation and communication of statistical information. They help you grasp concepts and ceme
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