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Data Mining and Statistical Analysis Using SQL

  • Book
  • © 2001

Overview

Authors:
  1. Robert P. Trueblood
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    You can also search for this author in PubMed   Google Scholar

  2. John N. Lovett
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  • Practical and loaded with examples for data mining, data warehousing, and customer relationship management

  • SQL examples in every chapter

  • Perfect supplemental resource for a statistics course

  • Includes supplementary material: sn.pub/extras

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Basic Statistical Principles and Diagnostic Tree

    • Robert P. Trueblood, John N. Lovett Jr.
    Pages 1-8

  3. Measures of Central Tendency and Dispersion

    • Robert P. Trueblood, John N. Lovett Jr.
    Pages 9-40

  4. Goodness of Fit

    • Robert P. Trueblood, John N. Lovett Jr.
    Pages 41-83

  5. Additional Tests of Hypothesis

    • Robert P. Trueblood, John N. Lovett Jr.
    Pages 85-117

  6. Curve Fitting

    • Robert P. Trueblood, John N. Lovett Jr.
    Pages 119-180

  7. Control Charting

    • Robert P. Trueblood, John N. Lovett Jr.
    Pages 181-228

  8. Analysis of Experimental Designs

    • Robert P. Trueblood, John N. Lovett Jr.
    Pages 229-275

  9. Time Series Analysis

    • Robert P. Trueblood, John N. Lovett Jr.
    Pages 277-335

  10. Back Matter

    Pages 337-414
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Keywords

About this book

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!

About the authors

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.

Bibliographic Information

  • Book Title: Data Mining and Statistical Analysis Using SQL

  • Authors: Robert P. Trueblood, John N. Lovett

  • DOI: https://doi.org/10.1007/978-1-4302-0855-6

  • Publisher: Apress Berkeley, CA

  • eBook Packages: Springer Book Archive

  • Copyright Information: Robert P. Trueblood and John N. Lovett, Jr. 2001

  • Softcover ISBN: 978-1-893115-54-5Published: 18 September 2001

  • eBook ISBN: 978-1-4302-0855-6Published: 09 November 2013

  • Edition Number: 1

  • Number of Pages: XVI, 410

  • Number of Illustrations: 151 b/w illustrations

  • Topics: Database Management, Software Engineering/Programming and Operating Systems

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