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A Guide to Statistics and Data Analysis Using JMP and JMP IN Software
出版Thomson Brooks/Cole, 2005
主題Computers / Mathematical & Statistical SoftwareMathematics / Probability & Statistics / General
ISBN053499749X9780534997496
URLhttp://books.google.com.hk/books?id=wSBgPgAACAAJ&hl=&source=gbs_api
註釋1. PRELIMINARIES. JMP IN Package Contents and Installation. What You Need to Know. Learning About JMP. Chapter Organization. Typographical Conventions. 2. JMP RIGHT IN. Hello! First Session. Modeling Type. The Personality of JMP. 3. DATA TABLES, REPORTS, AND SCRIPTS. Overview. The Ins and Outs of a JMP Data Table. Creating a New JMP Table. Moving Data Out of JMP. Working with Graphs and Reports. Juggling Data Tables. The Summary Command. Working With Scripts. 4. FORMULA EDITOR ADVENTURES. Overview. The Formula Editor Window. A Quick Example. Formula Editor: Pieces and Parts. The Keypad Functions. The Formula Display Area. Function Browser Definitions. Tips on Building Formulas. Exercises. 5. WHAT ARE STATISTICS? Overview. Ponderings. Preparations. Statistical Terms. 6. SIMULATIONS IN JMP. Overview. Rolling Dice. Probability of Making a Triangle. Confidence Intervals. 7. UNIVARIATE DISTRIBUTIONS: ONE VARIABLE, ONE SAMPLE. Overview. Looking at Distributions. Describing Distributions of Values. Statistical Inference on the Mean. Practical Significance vs. Statistical Significance. Testing for Normality. Special Topic: Practical Difference. Special Topic: Simulating the Central Limit Theorem. Special Topic: Seeing Kernel Addition. Exercises. 8. THE DIFFERENCE BETWEEN TWO MEANS. Overview. Two Independent Groups. Normality and Normal Quantile Plots. Testing Means for Matched Pairs. Special Topic: The Normality Assumption. Two Extremes of Neglecting the Pairing Situation: A Dramatization. A Nonparametric Approach. Exercises. 9. COMPARING MANY MEANS: ONE-WAY ANALYSIS OF VARIANCE. Overview. What is a One-Way Layout? Comparing and Testing Means. Means Diamonds: A Graphical Description of Group Means. Statistical Tests to Compare Means. Means Comparisons for Balanced Data. Means Comparisons for Unbalanced Data. Special Topic: Adjusting for Multiple Comparisons. Are the Variances Equal Across the Groups? Special Topic: Power. Nonparametric Methods. Exercises. 10. FITTING CURVES THROUGH POINTS: REGRESSION. Overview. Regression. Polynomial Models. Transformed Fits. Special Topic: Why Graphics are Important. Special Topic: Why It''s Called Regression. What Happens When x and y are Switched? Curiosities. Exercises. 11. CATEGORICAL DISTRIBUTIONS. Overview. Categorical Situations. Categorical Responses and Count Data: Two Outlooks. A Simulated Categorical Response. The X2 Pearson Chi-Square Test Statistic. The G2 Likelihood Ratio Chi-Square Test Statistic. Univariate Categorical Chi-Square Tests. Exercises. 12. CATEGORICAL MODELS. Overview. Fitting Categorical Responses to Categorical Factors: Contingency Tables. Two-Way Tables: Entering Count Data. If You Have a Perfect Fit. Special Topic: Correspondence AnalysisLooking at Data with Many Level. Continuous Factors with Categorical Responses: Logistic Regression. Special Topics. Surprise: Simpson''s Paradox: Aggregate Data versus Grouped Data. Exercises. 13. MULTIPLE REGRESSION. Overview. Parts of a Regression Model. A Multiple Regression Example. Collinearity. The Longley Data: An Example of Collinearity. The Case of the Hidden Leverage Point. Mining Data with Stepwise Regression. Exercises. 14. FITTING LINEAR MODELS. Overview. The General Linear Model. Two-Way Analysis of Variance and Interactions. Optional Topic: Random Effects and Nested Effects. Exercises. 15. BIVARIATE AND MULTIVARIATE RELATIONSHIPS. Overview. Bivariate Distributions. Density Estimation. Correlations and the Bivariate Normal. Three and More Dimensions. Summary. Exercises. 16. DESIGN OF EXPERIMENTS. Overview. Introduction. JMP DOE. Screening Design Types. Screening for Main Effects. Screening for Interactions: The Reactor Data. Response Surface Designs. A Box-Behnken Design Example. Design Issues. The JMP Custom Designer. Modify a Design Interactively. The Prediction Variance Profiler. Routine Screening Using Custom Designs. Special Topic: How the Custom Designer Works. 17. EXPLORATORY MODELING. Overview. The Partition Platfo