Johnson: Data Analysis with JMP-IN 4.0
(Sprache: Englisch)
This text has been designed to provide an overview of JMP-IN and contains step-by-step instructions for getting started. There are demonstrations of JMP and practical exercises to try using real data. The data sets are laid out in a non-technical way and highlight different techniques.
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This text has been designed to provide an overview of JMP-IN and contains step-by-step instructions for getting started. There are demonstrations of JMP and practical exercises to try using real data. The data sets are laid out in a non-technical way and highlight different techniques.
Inhaltsverzeichnis zu „Johnson: Data Analysis with JMP-IN 4.0 “
1. GET STARTED The JMP approach to Data Analysis / Have a Look / Get Parts of JMP Reports into Your Word Processor / A Quick Tour of JMP Starter / Exit JMP 2. DATA SOURCES, TYPES AND TRANSFORMATIONS Data Basics / Open a Data Set in JMP Format / Open a Data File in Text Format / Edit the Data / Open an Excel File / Enter Data Directly into JMP / Cut and Paste Data into JMP / Transfer a JMP Data table to Another Program / Exchange Rows and Columns (Transpose) 3. ONE VARIABLE Data, Graphics and JMP / Explore with Distribution / Moments (and Other Basic Statistics) / Explore with Chart 4. CATEGORIES Continuous Response Y / Analysis of Variance (Many Categories of Factor X) / Categorical Response Y 5. RELATE A CONTINUOUS RESPONSE TO ONE CONTINUOUS FACTOR Correlation / Continuous Response Y with ContinuousFacto Factor X (Linear Regression) / Interpret the Rest of the Output / Time as the Factor X / Lagged Responses and Autocorrelation 6. RELATE A CONTINUOUS RESPONSE TO SEVERAL FACTORS Graphs / Multivariate / Modeling / Influential Observations / Predictions and Confidence Intervals for Predictions 7. DESIGN EXPERIMENTS Categorical Effects Coded (+1, -1, 0) / Design Experiments with JMP / Analysis of Results from an Experiment / Add Center Point / Fractional Factorial Designs 8. MORE ANALYSIS USING JMP IN Control Charts / Time Series / Mining Data with Stepwise Regression / Logistic Regression / APPENDIX.
Bibliographische Angaben
- Autoren: Thomas Johnson , Kenneth N. Berk
- 2003, XIII, 320 Seiten, Maße: 18,7 x 23,6 cm, Kartoniert (TB), Englisch
- Verlag: Cengage Learning
- ISBN-10: 053437395X
- ISBN-13: 9780534373955
Sprache:
Englisch
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