Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Exploring data tables, trends, and shapes [[electronic resource] /] / edited by David C. Hoaglin, Frederick Mosteller, John W. Tukey
| Exploring data tables, trends, and shapes [[electronic resource] /] / edited by David C. Hoaglin, Frederick Mosteller, John W. Tukey |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, 2006 |
| Descrizione fisica | 1 online resource (564 p.) |
| Disciplina | 519.5 |
| Altri autori (Persone) |
HoaglinDavid C <1944-> (David Caster)
MostellerFrederick <1916-2006.> TukeyJohn W <1915-2000.> (John Wilder) |
| Collana | Wiley series in probability and statistics |
| Soggetto topico | Mathematical statistics |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-33238-8
9786613332387 1-118-15070-8 1-118-15069-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Exploring Data Tables, Trends, and Shapes; Contents; 1. THEORIES OF DATA ANALYSIS: FROM MAGICAL THINKING THROUGH CLASSICAL STATISTICS; 1A. Intuitive Statistics-Some Inferential Problems; 1B. Multiplicity-A Pervasive Problem; 1C. Some Remedies; 1D. Theories for Data Analysis; 1E. Uses for Mathematics; 1F. In Defense of Controlled Magical Thinking; 2. FITTING BY ORGANIZED COMPARISONS: THE SQUARE COMBINING TABLE; 2A. Combining Comparisons; 2B. Two-Way Tables; 2C. Paired Comparisons; 2D. Analyzing Tables Containing Holes; 2E. Summary; Exercises; 3. RESISTANT NONADDITIVE FITS FOR TWO-WAY TABLES
3A. The Simple Additive Model and Median Polish3B. One Step Beyond an Additive Fit; 3C. Assessing and Comparing Fits; 3D. Multiplicative Fits; 3E. Techniques for Obtaining Simple Multiplicative Fits; 3F. Additive-Plus-Multiplicative Fits; 3G. Some Background for Nonadditive Fits; 3H. Summary; Exercises; 4. THREE-WAY ANALYSES; 4A. Structure of the Three-Way Table; 4B. Decompositions and Models for Three-Way Analysis; 4C. Median-Polish Analysis for the Main-Effects-Only Case; 4D. Nonadditivity and a Diagnostic Plot in Main-Effects-Only Analysis; 4E. Analysis Using Means 4F. Median-Polish Analysis for the Full-Effects Case4G. Diagnostic Plots for the Full-Effects Case; 4H. Fitting the Full-Effects Model by Means; 4I. Computation, Other Polishes, and Missing Values; 4J. Summary; Exercises; 5. IDENTIFYING EXTREME CELLS IN A SIZABLE CONTINGENCY TABLE: PROBABILISTIC AND EXPLORATORY APPROACHES; 5A. The Hypergeometric Distribution; 5B. Assessing Outliers; 5C. The Simulation Approach; 5D. Applying the Simulation Approach to the Table of Archaeological Data; 5E. An Exploratory Approach, Based on Deviations from Independence; 5F. A Logarithmic Exploratory Approach 5G. Illustrations of the New Standardization5H. Summary; 5I. Conclusion; 6. FITTING STRAIGHT LINES BY EYE; 6A. Method; 6B. Results; 6C. Summary; 7. RESISTANT MULTIPLE REGRESSION, ONE VARIABLE AT A TIME; 7A. Resistant Lines; 7B. Sweeping Out; 7C. Example; 7D. When Carriers Come in Blocks; 7E. Summary; Exercises; 8. ROBUST REGRESSION; 8A. Why Robust Regression?; 8B. M-Estimators and W-Estimators for Regression; 8C. Computation; 8D. Example: The Stack Loss Data; 8E. Bounded-Influence Regression; 8F. Some Alternative Methods; 8G. Summary; Exercises; 9. CHECKING THE SHAPE OF DISCRETE DISTRIBUTIONS 9A. A Poissonness Plot9B. Confidence Intervals for the Count Metameter; 9C. When Is a Point Discrepant?; 9D. Overall Plots for Other Families of Distributions; 9E. Frequency-Ratio Alternatives; 9F. Cooperative Diversity; 9G. Double-Root Residuals; 9H. Summary; Exercises; 10. USING QUANTILES TO STUDY SHAPE; 10A. Diagnosing Skewness; 10B. Diagnosing Elongation; 10C. Quantile-Quantile Plots; 10D. Plots for Skewness and Elongation; 10E. Pushback Analysis; 10F. Summary; 10G. Appendix; Exercises; 11. SUMMARIZING SHAPE NUMERICALLY: THE g-AND-h DISTRIBUTIONS; 11A. Skewness; 11B. Elongation 11C. Combining Skewness and Elongation |
| Record Nr. | UNINA-9910139565203321 |
| Hoboken, N.J., : Wiley-Interscience, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Exploring data tables, trends, and shapes [[electronic resource] /] / edited by David C. Hoaglin, Frederick Mosteller, John W. Tukey
| Exploring data tables, trends, and shapes [[electronic resource] /] / edited by David C. Hoaglin, Frederick Mosteller, John W. Tukey |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, 2006 |
| Descrizione fisica | 1 online resource (564 p.) |
| Disciplina | 519.5 |
| Altri autori (Persone) |
HoaglinDavid C <1944-> (David Caster)
MostellerFrederick <1916-2006.> TukeyJohn W <1915-2000.> (John Wilder) |
| Collana | Wiley series in probability and statistics |
| Soggetto topico | Mathematical statistics |
| ISBN |
1-283-33238-8
9786613332387 1-118-15070-8 1-118-15069-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Exploring Data Tables, Trends, and Shapes; Contents; 1. THEORIES OF DATA ANALYSIS: FROM MAGICAL THINKING THROUGH CLASSICAL STATISTICS; 1A. Intuitive Statistics-Some Inferential Problems; 1B. Multiplicity-A Pervasive Problem; 1C. Some Remedies; 1D. Theories for Data Analysis; 1E. Uses for Mathematics; 1F. In Defense of Controlled Magical Thinking; 2. FITTING BY ORGANIZED COMPARISONS: THE SQUARE COMBINING TABLE; 2A. Combining Comparisons; 2B. Two-Way Tables; 2C. Paired Comparisons; 2D. Analyzing Tables Containing Holes; 2E. Summary; Exercises; 3. RESISTANT NONADDITIVE FITS FOR TWO-WAY TABLES
3A. The Simple Additive Model and Median Polish3B. One Step Beyond an Additive Fit; 3C. Assessing and Comparing Fits; 3D. Multiplicative Fits; 3E. Techniques for Obtaining Simple Multiplicative Fits; 3F. Additive-Plus-Multiplicative Fits; 3G. Some Background for Nonadditive Fits; 3H. Summary; Exercises; 4. THREE-WAY ANALYSES; 4A. Structure of the Three-Way Table; 4B. Decompositions and Models for Three-Way Analysis; 4C. Median-Polish Analysis for the Main-Effects-Only Case; 4D. Nonadditivity and a Diagnostic Plot in Main-Effects-Only Analysis; 4E. Analysis Using Means 4F. Median-Polish Analysis for the Full-Effects Case4G. Diagnostic Plots for the Full-Effects Case; 4H. Fitting the Full-Effects Model by Means; 4I. Computation, Other Polishes, and Missing Values; 4J. Summary; Exercises; 5. IDENTIFYING EXTREME CELLS IN A SIZABLE CONTINGENCY TABLE: PROBABILISTIC AND EXPLORATORY APPROACHES; 5A. The Hypergeometric Distribution; 5B. Assessing Outliers; 5C. The Simulation Approach; 5D. Applying the Simulation Approach to the Table of Archaeological Data; 5E. An Exploratory Approach, Based on Deviations from Independence; 5F. A Logarithmic Exploratory Approach 5G. Illustrations of the New Standardization5H. Summary; 5I. Conclusion; 6. FITTING STRAIGHT LINES BY EYE; 6A. Method; 6B. Results; 6C. Summary; 7. RESISTANT MULTIPLE REGRESSION, ONE VARIABLE AT A TIME; 7A. Resistant Lines; 7B. Sweeping Out; 7C. Example; 7D. When Carriers Come in Blocks; 7E. Summary; Exercises; 8. ROBUST REGRESSION; 8A. Why Robust Regression?; 8B. M-Estimators and W-Estimators for Regression; 8C. Computation; 8D. Example: The Stack Loss Data; 8E. Bounded-Influence Regression; 8F. Some Alternative Methods; 8G. Summary; Exercises; 9. CHECKING THE SHAPE OF DISCRETE DISTRIBUTIONS 9A. A Poissonness Plot9B. Confidence Intervals for the Count Metameter; 9C. When Is a Point Discrepant?; 9D. Overall Plots for Other Families of Distributions; 9E. Frequency-Ratio Alternatives; 9F. Cooperative Diversity; 9G. Double-Root Residuals; 9H. Summary; Exercises; 10. USING QUANTILES TO STUDY SHAPE; 10A. Diagnosing Skewness; 10B. Diagnosing Elongation; 10C. Quantile-Quantile Plots; 10D. Plots for Skewness and Elongation; 10E. Pushback Analysis; 10F. Summary; 10G. Appendix; Exercises; 11. SUMMARIZING SHAPE NUMERICALLY: THE g-AND-h DISTRIBUTIONS; 11A. Skewness; 11B. Elongation 11C. Combining Skewness and Elongation |
| Record Nr. | UNINA-9910830463803321 |
| Hoboken, N.J., : Wiley-Interscience, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fundamentals of exploratory analysis of variance [[electronic resource] /] / edited by David C. Hoaglin, Frederick Mosteller, John W. Tukey
| Fundamentals of exploratory analysis of variance [[electronic resource] /] / edited by David C. Hoaglin, Frederick Mosteller, John W. Tukey |
| Pubbl/distr/stampa | New York, : Wiley, c1991 |
| Descrizione fisica | 1 online resource (456 p.) |
| Disciplina |
519.5
519.538 |
| Altri autori (Persone) |
HoaglinDavid C <1944-> (David Caster)
MostellerFrederick <1916-2006.> TukeyJohn W <1915-2000.> (John Wilder) |
| Collana | Wiley series in probability and mathematical statistics. Applied probability and statistics |
| Soggetto topico |
Analysis of variance
Mathematical statistics |
| ISBN |
1-282-30777-0
9786612307775 0-470-31683-7 0-470-31766-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Fundamentals of Exploratory Analysis of Variance; Contents; 1. Concepts and Examples in Analysis of Variance; 1A. Interaction in ANOVA; 1B. A Graphical Analysis of a Complex Experiment on the Hardness of Dental Gold; 1C. An Election Example; 1D. Why Main Effects and Interactions?; Exercises; 2. Purposes of Analyzing Data that Come in a Form Inviting Us to Apply Tools from the Analysis of Variance; 2A. Purposes Can Be Both Diverse and Unfamiliar; 2B. A Quantitative Microcosm; 2C. More Classic Purposes; 2D. Causation, Experimentation, and Observation; 2E. Summary; Exercises
3. Preliminary Examination of Data3A. Editing; 3B. Appreciating the Data; 3C. Plots of the Data; 3D. Boxplots; 3E. Stem-and-Leaf Displays; 4. Types of Factors and Their Structural Layouts; 4A. Types of Factors; 4B. Relationships Between Factors; 4C. One-way and Two-way Layouts; 4D. Three-Way and More-Way Layouts; 4E. Summary; Exercises; 5. Value-Splitting: Taking the Data Apart; 5A. Forming Overlays; 5B. Overlays for One-way Data; 5C. What the Residuals Tell Us; 5D. Comparing Overlays: An ANOVA Table; 5E. Designs with Two Crossed Factors; 5F. Interaction and Replication 5G. Two-Factor Designs with Replication5H. Two-Factor Data with Nesting; 5I. Other Descriptions; 5J. Summary; Exercises; 6. Value Splitting Involving More Factors; 6A. Three Crossed Factors; 6B. Four Crossed Factors; 6C. Latin Square Designs; 6D. Summary; Exercises; 7. Mean Squares, F Tests, and Estimates of Variance; 7A. Formal Inferences: The F Test; 7B. Broadening the Base for the F Test; 7C. (Optional) Note on the Relation of the Pitman-Welch Work to an Ordinary F Distribution; 7D. Confidence Intervals for u2 Under Ideal Conditions; 7E. Sensitivity to the Assumption of Normality Exercises8. Graphical Display as an Aid to Analysis; 8A. An Overview of Graphical Methods for One-way ANOVA; 8B. Graphical Display for Two-Factor Data; 8C. A Side-by-Side Plot Attuned to Mean Squares; 8D. A Detailed Example: Percentage of Americans Who Have Never Married; 8E. Patterns or Noise?; 8F. Exploring Residuals Graphically; 8G. Summary; Exercises; 9. Components of Variance; 9A. Structures Leading to Components in One-way Analysis of Variance; 9B. Example: Variance Components for Blood Pressure; 9C. Alternative Methods for Estimating Variance Components 9D. Confidence Intervals for Variance Components9E. Unbalanced Cases ( Expected-Mean-Square Method); 9F. Two-way Tables; 9G. Example: Nationalization of Electoral Forces; 9H. Summary; Exercises; 10. Which Denominator?; 10A. Analyzing the Structure; 10B. The Sampling or Pigeonhole Model; 10C. The Notion of "Above"; 10D. Three-Way Special Cases; 10E. Constructing an Appropriate Error Term; 10F. Estimation of Variance Components in a Two-way Analysis of Variance by Equating Average Values; 10G. An Alternative Model for Interaction in Two-way Analysis of Variance 10H. A Three-Way Example: Tumor Size |
| Record Nr. | UNINA-9910144693603321 |
| New York, : Wiley, c1991 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
National survey of WIC participants / / authors, Nancy Cole, David Hoaglin, John Kirlin ; submitted by Abt Associates Inc. ; submitted to Office of Analysis, Nutrition, and Evaluation, USDA, Food and Nutrition Service
| National survey of WIC participants / / authors, Nancy Cole, David Hoaglin, John Kirlin ; submitted by Abt Associates Inc. ; submitted to Office of Analysis, Nutrition, and Evaluation, USDA, Food and Nutrition Service |
| Autore | Cole Nancy |
| Pubbl/distr/stampa | Alexandria, VA : , : United States Department of Agriculture, Food and Nutrition Service, , [2001] |
| Descrizione fisica | 1 online resource (355 unnumbered pages) : illustrations, maps ; ; 28 cm |
| Collana | Nutrition assistance program report series |
| Soggetto topico |
Food relief - United States
Children - Nutrition - United States Infants - Nutrition - United States Mothers - Nutrition - United States |
| Soggetto genere / forma | Statistics. |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910702687303321 |
Cole Nancy
|
||
| Alexandria, VA : , : United States Department of Agriculture, Food and Nutrition Service, , [2001] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||