John Lovett, Robert P. Trueblood

Data Mining and Statistical Analysis Using SQL (eBook, PDF)

• Format: PDF

Produktbeschreibung

Unlike the theoretical texts on statistics or data mining, this practical book will help database administrators improve their understanding of statistics and how to use SQL in their daily routines of data mining and data analysis. Each chapter can be read independently of the others and has numerous examples of business applications.

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Produktdetails

• Verlag: Apress
• Seitenzahl: 410
• Erscheinungstermin: 9. November 2013
• Englisch
• ISBN-13: 9781430208556
• Artikelnr.: 44058368

Autorenporträt

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.

Inhaltsangabe

1 Basic Statistical Principles and Diagnostic Tree.- 2 Measures of Central Tendency and Dispersion.- 3 Goodness of Fit.- 4 Additional Tests of Hypothesis.- 5 Curve Fitting.- 6 Control Charting.- 7 Analysis of Experimental Designs.- 8 Time Series Analysis.- Appendix A Overview of Relational Database Structure and SQL.- Appendix B Statistical Tables.- Appendix C Tables of Statistical Distributions and Their Characteristics.- Appendix D Visual Basic Routines.