Data analysis with JMP IN 4
著者
書誌事項
Data analysis with JMP IN 4
Duxbury/Thomson Learning, 2000
大学図書館所蔵 件 / 全3件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references and index
内容説明・目次
内容説明
This text has been designed to provide an overview to JMP-IN and contains step instructions for getting started. The examples are demonstrations of JMP and each uncovers something about the data. Almost all the examples and exercises use real-life data. The data sets have been chosen so the user can understand the issues without much technical knowledge. Graphs, analyses, and some data sets are used in several examples so readers can see that it takes several techniques to answer information in a data set.
目次
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.
「Nielsen BookData」 より