9780387982236 - Robust Planning and Analysis of Experiments (Lecture Notes in Statistics): 124 de Mueller, Christine H. (13 resultados)

broschiert/ Taschenbuch. X und 234 Seiten sowie 2 Blatt Verlagsanzeigen. Orig. Broschur (etwas berieben und bestoßen, der Rücken etwas lichtspurig, sonst gutes und sauberes Exemplar). Gr.-8°. Erste Ausgabe. Auf dem Vortitel nach einer eigenhändigen Widmung von Chr. Müller signiert. [= Lecture Notes in Statistics, 124] ----------------------------------------------------------------- ------------------------------------------------------------ ------------------------------------------------------------ ----------------------------------- BITTE BEACHTEN: Auf Grund der absurden und irrsinnig teuren staatlichen Regelungen für die Entsorgung der Versandpappen in den nachfolgenden Ländern, kann ich leider nicht mehr liefern nach: Österreich, Griechenland, Polen. Kunden in ÖSTERREICH können sich aber an die einheimische Post wenden, dort unter Alles Post Deutschland. --- PLEASE NOTE: Due to the absurd and insanely expensive government regulations for the disposal of shipping cartons in the following countries, I can unfortunately no longer deliver to: Austria, Greece, Poland. However, customers in AUSTRIA can contact their local post office, there under Alles Post Deutschland.

250 p. Unread book. Like new. Minimum traces of storage. 9780387982236 Sprache: Englisch Gewicht in Gramm: 408 Softcover: 15.9 x 1.4 x 23.5 cm Softcover reprint of the original 1st ed. 1997.

Condición: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | Author-approved bcc: Robust statistics and the design of experiments are two of the fastest growing fields in contemporary statistics. Up to now, there has been very little overlap between these fields. In robust statistics, robust alternatives to the nonrobust least squares estimator have been developed, while in experimental design, designs for the efficient use of the least square estimator have been developed. This volume is the first to link these two areas by studying the influence of the design on the efficiency and robustness of robust estimators and tests. It shows that robust statistical procedures profit by an appropriate choice of the design and that efficient designs for a robust statistical analysis are more applicable. The classical approaches of experimental design and robust statistics are introduced before the areas are linked. Dr. Christine H. M ller teaches at the Department of Mathematics and Computer Science of the Free University of Berlin and is a member of the research project on "Efficient Experiments in Industrial Production." From 1988-1991, she worked as a biometrician at the Medical Department of the Free University of Berlin.

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Author-approved bcc: Robust statistics and the design of experiments are two of the fastest growing fields in contemporary statistics. Up to now, there has been very little overlap between these fields. In robust statistics, robust alternatives to the nonrobust least squares estimator have been developed, while in experimental design, designs for the efficient use of the least square estimator have been developed. This volume is the first to link these two areas by studying the influence of the design on the efficiency and robustness of robust estimators and tests. It shows that robust statistical procedures profit by an appropriate choice of the design and that efficient designs for a robust statistical analysis are more applicable. The classical approaches of experimental design and robust statistics are introduced before the areas are linked. Dr. Christine H. M ller teaches at the Department of Mathematics and Computer Science of the Free University of Berlin and is a member of the research project on 'Efficient Experiments in Industrial Production.' From 1988-1991, she worked as a biometrician at the Medical Department of the Free University of Berlin.

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Author-approved bcc: Robust statistics and the design of experiments are two of the fastest growing fields in contemporary statistics. Up to now, there has been very little overlap between these fields. In robust statistics, robust alternatives to the nonrobust least squares estimator have been developed, while in experimental design, designs for the efficient use of the least square estimator have been developed. This volume is the first to link these two areas by studying the influence of the design on the efficiency and robustness of robust estimators and tests. It shows that robust statistical procedures profit by an appropriate choice of the design and that efficient designs for a robust statistical analysis are more applicable. The classical approaches of experimental design and robust statistics are introduced before the areas are linked. Dr. Christine H. M ller teaches at the Department of Mathematics and Computer Science of the Free University of Berlin and is a member of the research project on 'Efficient Experiments in Industrial Production.' From 1988-1991, she worked as a biometrician at the Medical Department of the Free University of Berlin. 248 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Robust statistics and the design of experiments are two of the fastest growing fields in contemporary statistics. Up to now, there has been very little overlap between these fields. This is the first book to link these two areas by studying the influence of.

Condición: New. Print on Demand pp. 248 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Author-approved bcc: Robust statistics and the design of experiments are two of the fastest growing fields in contemporary statistics. Up to now, there has been very little overlap between these fields. In robust statistics, robust alternatives to the nonrobust least squares estimator have been developed, while in experimental design, designs for the efficient use of the least square estimator have been developed. This volume is the first to link these two areas by studying the influence of the design on the efficiency and robustness of robust estimators and tests. It shows that robust statistical procedures profit by an appropriate choice of the design and that efficient designs for a robust statistical analysis are more applicable. The classical approaches of experimental design and robust statistics are introduced before the areas are linked. Dr. Christine H. M ller teaches at the Department of Mathematics and Computer Science of the Free University of Berlin and is a member of the research project on 'Efficient Experiments in Industrial Production.' From 1988-1991, she worked as a biometrician at the Medical Department of the Free University of Berlin.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 248 pp. Englisch.