LEADER 05704nam 2200721 a 450 001 9910877074703321 005 20200520144314.0 010 $a1-283-33238-8 010 $a9786613332387 010 $a1-118-15070-8 010 $a1-118-15069-4 035 $a(CKB)2550000000062205 035 $a(EBL)818805 035 $a(SSID)ssj0000648781 035 $a(PQKBManifestationID)11383230 035 $a(PQKBTitleCode)TC0000648781 035 $a(PQKBWorkID)10601677 035 $a(PQKB)10559012 035 $a(SSID)ssj0000566795 035 $a(PQKBManifestationID)12208442 035 $a(PQKBTitleCode)TC0000566795 035 $a(PQKBWorkID)10562276 035 $a(PQKB)11562737 035 $a(MiAaPQ)EBC818805 035 $a(iGPub)WILEYB0030991 035 $a(OCoLC)761321535 035 $a(EXLCZ)992550000000062205 100 $a20111206d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aExploring data tables, trends, and shapes /$fedited by David C. Hoaglin, Frederick Mosteller, John W. Tukey 205 $a1st ed. 210 $aHoboken, N.J. $cWiley-Interscience$d2006 215 $a1 online resource (564 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 $a0-470-04005-X 311 $a0-471-09776-4 320 $aIncludes bibliographical references and index. 327 $aExploring 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 327 $a3A. 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 327 $a4F. 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 327 $a5G. 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 327 $a9A. 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 327 $a11C. Combining Skewness and Elongation 330 $aWILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. ""Exploring Data Tables, Trends, and Shapes (EDTTS) was written as a companion volume to the same editors' book, Understanding Robust and Exploratory Data Analysis (UREDA 410 0$aWiley series in probability and statistics. 606 $aMathematical statistics 615 0$aMathematical statistics. 676 $a519.5 701 $aHoaglin$b David C$g(David Caster),$f1944-$0101864 701 $aMosteller$b Frederick$f1916-2006.$045482 701 $aTukey$b John W$g(John Wilder),$f1915-2000.$0101780 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910877074703321 996 $aExploring data tables, trends, and shapes$94202966 997 $aUNINA