Data Mining and Statistical Analysis Using SQL

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Overview
Product Details
Meet the Author
Table of Contents

Overview

This book is not just another theoretical text about statistics or data mining. No, instead it is aimed for database administrators who want to use SQL or bolster their understanding of statistics to support data mining and customer relationship management analytics.

Each chapter is self-contained, with examples tailored to real business applications. And each analysis technique will be expressed in a mathematical format for coding as either a database query or a Visual Basic procedure using SQL. Chapter contents include formulas, graphs, charts, tables, data mining techniques, and more!

Product Details

ISBN-13: 9781893115545
Publisher: Apress
Publication date: 9/18/2001
Edition number: 1
Pages: 410
Product dimensions: 0.89 (w) x 7.50 (h) x 9.25 (d)

Meet the Author

John N. Lovett, Jr. is a senior engineering consultant at QuantiTech, Inc. and co-owner, with his anthropologist/archaeologist wife, Jane, of Falls Mill and Museum in Belvedere, Tennessee. He has a Ph.D. in industrial engineering, a master's degree in operations research, and a bachelor's degree in mathematics.

Robert P. Trueblood is an analyst at QuantiTech, Inc. He has a Ph.D. in computer science and applications, and taught at the university level for 18 years before transitioning into private industry. He enjoys designing and implementing systems in Visual Basic.

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	Dedication
	About the Authors
	Introduction
	Acknowledgments
Ch. 1	Basic Statistical Principles and Diagnostic Tree	1
Ch. 2	Measures of Central Tendency and Dispersion	9
Ch. 3	Goodness of Fit	41
Ch. 4	Additional Tests of Hypothesis	85
Ch. 5	Curve Fitting	119
Ch. 6	Control Charting	181
Ch. 7	Analysis of Experimental Designs	229
Ch. 8	Time Series Analysis	277
App. A	Overview of Relational Database Structure and SQL	337
	App. B: Statistical Tables	359
	App. C: Tables of Statistical Distributions and Their Characteristics	373
	App. D: Visual Basic Routines	381
	Bibliography	397
	Index	399

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Data Mining and Statistical Analysis Using SQL / Edition 1