| 000 | 00877camuu22002534a 4500 | |
| 001 | 000000838554 | |
| 005 | 20031028103342 | |
| 008 | 020521s2002 nyua b 001 0 eng | |
| 010 | ▼a 2071613 | |
| 020 | ▼a 0824707184 (alk. paper) | |
| 040 | ▼a DLC ▼c DLC ▼d C#P ▼d 211009 | |
| 042 | ▼a pcc | |
| 049 | ▼l 111261768 | |
| 050 | 0 0 | ▼a QA276.3 ▼b .F37 2002 |
| 082 | 0 0 | ▼a 001.4/226 ▼2 21 |
| 090 | ▼a 001.4226 ▼b F222v | |
| 100 | 1 | ▼a Farebrother, R. W., ▼d 1946- |
| 245 | 1 0 | ▼a Visualizing statistical models and concepts / ▼c R.W. Farebrother ; illustrated by Michael Schyns. |
| 260 | ▼a New York : ▼b Marcel Dekker, ▼c c2002. | |
| 300 | ▼a xii, 249 p. : ▼b ill. ; ▼c 24 cm. | |
| 440 | 0 | ▼a Statistics, textbooks and monographs ; ▼v v. 166 |
| 504 | ▼a Includes bibliographical references and indexes. | |
| 650 | 0 | ▼a Mathematical statistics ▼x Graphic methods. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 001.4226 F222v | 등록번호 111261768 (3회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
This graduate textbook presents geometric and mechanical models for statistical analysis. Farebrother (Victoria University of Manchester) examines the problem of determining the position of a multivariate location parameter and the problem of fitting a plane or curved surface to multivariate data when the goodness of fit criterion is variously defined by the sum of the squared deviations, the sum of the absolute deviation, the median absolute deviation, or the maximum absolute deviation. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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목차
1. Introduction 2. Abstract Geometrical and Mechanical Representations 3. Mechanical Models for Multidimensional Medians 4. Method of Least Squared Deviations 5. Method of Least Absolute Deviation 6. Minimax Absolute Deviation Method 7. Method of Least Median of Squared Deviations 8. Mechanical Models for Metric Graphs 9. Categorical Data Analysis 10. Method of Averages and Curve Fitting by Splines 11. Multivariate Generalisations of the Method of Least Squares
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