Data Mining and Statistical Analysis Using SQL
Apress (Verlag)
978-1-893115-54-5 (ISBN)
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!
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.
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.
| Erscheint lt. Verlag | 18.9.2001 |
|---|---|
| Zusatzinfo | 151 Illustrations, black and white |
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge | |
| Mathematik / Informatik ► Informatik ► Software Entwicklung | |
| Informatik ► Theorie / Studium ► Compilerbau | |
| Schlagworte | Customer Relationship Management • Database Management • Data Mining • Data Warehouse • SQL • Statistics • Statistik |
| ISBN-10 | 1-893115-54-2 / 1893115542 |
| ISBN-13 | 978-1-893115-54-5 / 9781893115545 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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