robust estimation testing de staudte robert (20 résultats)

Etat : Very Good. Etat de la jaquette : Very Good. First Edition. Disk Included.

Etat : New.

hardcover. Etat : New. In shrink wrap. Looks like an interesting title!

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HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New.

Etat : As New. Unread book in perfect condition.

Hardcover. Etat : new. Hardcover. An introduction to the theory and methods of robust statistics, providing students with practical methods for carrying out robust procedures in a variety of statistical contexts and explaining the advantages of these procedures. In addition, the text develops techniques and concepts likely to be useful in the future analysis of new statistical models and procedures. Emphasizing the concepts of breakdown point and influence functon of an estimator, it demonstrates the technique of expressing an estimator as a descriptive measure from which its influence function can be derived and then used to explore the efficiency and robustness properties of the estimator. Mathematical techniques are complemented by computational algorithms and Minitab macros for finding bootstrap and influence function estimates of standard errors of the estimators, robust confidence intervals, robust regression estimates and their standard errors. Includes examples and problems. An introduction to the theory and methods of robust statistics, which aims to illustrate the need for robust procedures in a variety of statistical contexts, and to develop the techniques and concepts useful in the analysis of new statistical models and procedures. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardback. Etat : New. 1st. An introduction to the theory and methods of robust statistics, providing students with practical methods for carrying out robust procedures in a variety of statistical contexts and explaining the advantages of these procedures. In addition, the text develops techniques and concepts likely to be useful in the future analysis of new statistical models and procedures. Emphasizing the concepts of breakdown point and influence functon of an estimator, it demonstrates the technique of expressing an estimator as a descriptive measure from which its influence function can be derived and then used to explore the efficiency and robustness properties of the estimator. Mathematical techniques are complemented by computational algorithms and Minitab macros for finding bootstrap and influence function estimates of standard errors of the estimators, robust confidence intervals, robust regression estimates and their standard errors. Includes examples and problems.

Hardcover. Etat : new. Hardcover. An introduction to the theory and methods of robust statistics, providing students with practical methods for carrying out robust procedures in a variety of statistical contexts and explaining the advantages of these procedures. In addition, the text develops techniques and concepts likely to be useful in the future analysis of new statistical models and procedures. Emphasizing the concepts of breakdown point and influence functon of an estimator, it demonstrates the technique of expressing an estimator as a descriptive measure from which its influence function can be derived and then used to explore the efficiency and robustness properties of the estimator. Mathematical techniques are complemented by computational algorithms and Minitab macros for finding bootstrap and influence function estimates of standard errors of the estimators, robust confidence intervals, robust regression estimates and their standard errors. Includes examples and problems. An introduction to the theory and methods of robust statistics, which aims to illustrate the need for robust procedures in a variety of statistical contexts, and to develop the techniques and concepts useful in the analysis of new statistical models and procedures. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Etat : New. An introduction to the theory and methods of robust statistics, which aims to illustrate the need for robust procedures in a variety of statistical contexts, and to develop the techniques and concepts useful in the analysis of new statistical models and procedures. Series: Wiley Series in Probability and Statistics. Num Pages: 376 pages, Ill. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 233 x 161 x 32. Weight in Grams: 738. . 1990. 1st Edition. Hardcover. . . . .

Hardback. Etat : New. 1st. An introduction to the theory and methods of robust statistics, providing students with practical methods for carrying out robust procedures in a variety of statistical contexts and explaining the advantages of these procedures. In addition, the text develops techniques and concepts likely to be useful in the future analysis of new statistical models and procedures. Emphasizing the concepts of breakdown point and influence functon of an estimator, it demonstrates the technique of expressing an estimator as a descriptive measure from which its influence function can be derived and then used to explore the efficiency and robustness properties of the estimator. Mathematical techniques are complemented by computational algorithms and Minitab macros for finding bootstrap and influence function estimates of standard errors of the estimators, robust confidence intervals, robust regression estimates and their standard errors. Includes examples and problems.

Hardcover. Etat : Brand New. 1st edition. 376 pages. 9.25x6.50x1.00 inches. In Stock.

Etat : New. pp. 376 Index.

Buch. Etat : Neu. Neuware - An introduction to the theory and methods of robust statistics, providing students with practical methods for carrying out robust procedures in a variety of statistical contexts and explaining the advantages of these procedures. In addition, the text develops techniques and concepts likely to be useful in the future analysis of new statistical models and procedures. Emphasizing the concepts of breakdown point and influence functon of an estimator, it demonstrates the technique of expressing an estimator as a descriptive measure from which its influence function can be derived and then used to explore the efficiency and robustness properties of the estimator. Mathematical techniques are complemented by computational algorithms and Minitab macros for finding bootstrap and influence function estimates of standard errors of the estimators, robust confidence intervals, robust regression estimates and their standard errors. Includes examples and problems.

Etat : New. An introduction to the theory and methods of robust statistics, which aims to illustrate the need for robust procedures in a variety of statistical contexts, and to develop the techniques and concepts useful in the analysis of new statistical models and procedures. Series: Wiley Series in Probability and Statistics. Num Pages: 376 pages, Ill. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 233 x 161 x 32. Weight in Grams: 738. . 1990. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Etat : new. Hardcover. An introduction to the theory and methods of robust statistics, providing students with practical methods for carrying out robust procedures in a variety of statistical contexts and explaining the advantages of these procedures. In addition, the text develops techniques and concepts likely to be useful in the future analysis of new statistical models and procedures. Emphasizing the concepts of breakdown point and influence functon of an estimator, it demonstrates the technique of expressing an estimator as a descriptive measure from which its influence function can be derived and then used to explore the efficiency and robustness properties of the estimator. Mathematical techniques are complemented by computational algorithms and Minitab macros for finding bootstrap and influence function estimates of standard errors of the estimators, robust confidence intervals, robust regression estimates and their standard errors. Includes examples and problems. An introduction to the theory and methods of robust statistics, which aims to illustrate the need for robust procedures in a variety of statistical contexts, and to develop the techniques and concepts useful in the analysis of new statistical models and procedures. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Etat : Brand New. 1st edition. 376 pages. 9.25x6.50x1.00 inches. In Stock. This item is printed on demand.

Etat : New. pp. 376 This item is printed on demand.