LEADER 05470nam 2200685 a 450 001 9910830550003321 005 20230213212202.0 010 $a1-283-33237-X 010 $a9786613332370 010 $a1-118-18643-5 010 $a1-118-15068-6 035 $a(CKB)2550000000062669 035 $a(EBL)818804 035 $a(SSID)ssj0000566800 035 $a(PQKBManifestationID)12194161 035 $a(PQKBTitleCode)TC0000566800 035 $a(PQKBWorkID)10551884 035 $a(PQKB)10334228 035 $a(SSID)ssj0000649613 035 $a(PQKBManifestationID)11363827 035 $a(PQKBTitleCode)TC0000649613 035 $a(PQKBWorkID)10608572 035 $a(PQKB)10805822 035 $a(MiAaPQ)EBC818804 035 $a(OCoLC)761321543 035 $a(EXLCZ)992550000000062669 100 $a19850425d1986 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aRobust statistics$b[electronic resource] $ethe approach based on influence functions /$fFrank R. Hampel ... [et al.] 210 $aNew York $cWiley$d1986 215 $a1 online resource (538 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 $a0-471-73577-9 311 $a0-471-82921-8 320 $aIncludes bibliographical references and index. 327 $aRobust Statistics: The Approach Based on Influence Functions; Contents; 1. INTRODUCTION AND MOTIVATION; 1.1. The Place and Aims of Robust Statistics; 1.1a. What Is Robust Statistics?; 1.1b. The Relation to Some Other Key Words in Statistics; 1.1c. The Aims of Robust Statistics; 1.1d. An Example; 1.2. Why Robust Statistics?; 1.2a. The Role of Parametric Models; 1.2b. Types of Deviations from Parametric Models; 1.2c. The Frequency of Gross Errors; 1.2d. The Effects of Mild Deviations from a Parametric Model; 1.2e. How Necessary Are Robust Procedures? 327 $a1.3. The Main Approaches towards a Theory of Robustness1.3a. Some Historical Notes; 1.3b. Huber's Minimax Approach for Robust Estimation; 1.3c. Huber's Second Approach to Robust Statistics via Robustifed Likelihood Ratio Tests; 1.3d. The Approach Based on In Juence Functions; 1.3e. The Relation between the Minimax Approach and the Approach Based on Influence Functions; 1.3f. The Approach Based on Influence Functions as a Robustifed Likelihood Approach, and Its Relation to Various Statistical Schools; *1.4. Rejection of Outliers and Robust Statistics; 1.4a. Why Rejection of Outliers? 327 $a1.4b. How Well Are Objective and Subjective Methods for the Rejection of Outliers Doing in the Context of Robust Estimation?Exercises and Problems; 2. ONE-DIMENSIONAL ESTIMATORS; 2.0. An Introductory Example; 2.1. The Influence Function; 2.1a. Parametric Models, Estimators, and Functionals; 2.1b. Definition and Properties of the Influence Function; 2.1c. Robustness Measures Derived from the Influence Function; 2.1d. Some Simple Examples; 2.1e. Finite-Sample Versions; 2.2. The Breakdown Point and Qualitative Robustness; 2.2a. Global Reliability: The Breakdown Point 327 $a2.2b. Continuity and Qualitative Robustness2.3. Classes of Estimators; 2.3a. M-Estimators; 2.3b. L-Estimators; 2.3c. R-Estimators; 2.3d. Other Types of Estimators: A, D, P, S, W; 2.4. Optimally Bounding the Gross-Error Sensitivity; 2.4a. The General Optimality Result; 2.4b. M-Estimator; 2.4c. L-Estimators; 2.4d. R-Estimators; 2.5. The Change-of-Variance Function; 2.5a. Definitions; 2.5b. B-Robustness versus V-Robustness; 2.5c. The Most Robust Estimator; 2.5d. Optimal Robust Estimators; 2.5e. M-Estimators for Scale; *2.5f. Further Topics; 2.6. Redescending M-Estimators; 2.6a. Introduction 327 $a2.6b. Most Robust Estimators2.6c. Optimal Robust Estimators; 2.6d. Schematic Summary of Sections 2.5 and 2.6; *2.6e. Redescending M-Estimators for Scale; 2.7. Relation with Huber's Minimax Approach; Exercises and Problems; 3. ONE-DIMENSIONAL TESTS; 3.1. Introduction; 3.2. The Influence Function for Tests; 3.2a. Definition of the Influence Function; 3.2b. Properties of the Influence Function; 3.2c. Relation with Level and Power; 3.2d. Connection with Shift Estimators; 3.3. Classes of Tests; 3.3a The One-Sample Case; 3.3b. The Two-Sample Case; 3.4. Optimally Bounding the Gross-Error Sensitivity 327 $a3.5. Extending the Change-of-Variance Function to Tests 330 $aThe Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. ""This is a nice book containing a wealth of information, much of it due to the authors. . . . If an instructor designing such a course wanted a textbook, this book would be the best choice available. . . . There are many 410 0$aWiley series in probability and statistics. 606 $aRobust statistics 615 0$aRobust statistics. 676 $a519.5 676 $a519.54 701 $aHampel$b Frank R.$f1941-$066228 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830550003321 996 $aRobust statistics$93993695 997 $aUNINA