9780198522546 - Optimum Experimental Designs: 8 (Oxford Statistical Science Series) de Atkinson, A. C.; Donev, A. N. (23 resultados)

Condición: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780198522546.

Condición: Used - Very Good. VG hardback. 1992 1st edition, tightly bound in laminated boards; lower end of spine very slightly faded; otherwise, a very clean, tidy copy. Used - Very Good. VG hardback.

Hardcover. Condición: Very Good. No text marks. Name blacked out on first page. Nice clean used book.

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

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. In.

Condición: As New. Unread book in perfect condition.

Condición: New. A well-designed experiment is an efficient learning resource. Because experiments in the field and in the laboratory cannot avoid random error, statistical methods are essential for their efficient design and analysis. This book presents the fundamentals of optimum experimental design theory. Series: Oxford Statistical Science Series. Num Pages: 344 pages, numerous line drawings, tables. BIC Classification: PBT; TBJ; TGPQ; TGPR. Category: (P) Professional & Vocational. Dimension: 241 x 159 x 24. Weight in Grams: 650. . 1992. Hardback. . . . .

Condición: New. A well-designed experiment is an efficient learning resource. Because experiments in the field and in the laboratory cannot avoid random error, statistical methods are essential for their efficient design and analysis. This book presents the fundamentals of optimum experimental design theory. Series: Oxford Statistical Science Series. Num Pages: 344 pages, numerous line drawings, tables. BIC Classification: PBT; TBJ; TGPQ; TGPR. Category: (P) Professional & Vocational. Dimension: 241 x 159 x 24. Weight in Grams: 650. . 1992. Hardback. . . . . Books ship from the US and Ireland.

Hardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condición: new. Questo è un articolo print on demand.

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condición: new. Hardcover. A well-designed experiment is an efficient method of learning about the world. Because experiments in the field and in the laboratory cannot avoid random error, statistical methods are essential for their efficient design and analysis. In this book, the fundamentals of optimum experimental design theory are presented. In the first part of the part of the book, the advantages of a statistical approach to the design of experiments are discussed, and the ideas ofmodels, least squares fitting, and optimum experimental designs are introduced. The second part presents a more detailed discussion of the general theory of optimum design and an evaluation of variouscriteria that may be appropriate for designing experiments. Specific experiments are detailed and algorithms for the construction of designs are given.Each chapter is a self-contained topic, illustrated with examples drawn from science and engineering. Little previous statistical knowledge is assumed, and the derivation of mathematical results has been avoided. This book should be of interest to everyone concerned with designing efficient experiments in the laboratory orin the industry. This book presents the fundamentals of optimum experimental design theory. Each chapter is a self-contained topic, illustrated with examples drawn from science and engineering. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condición: new. Hardcover. A well-designed experiment is an efficient method of learning about the world. Because experiments in the field and in the laboratory cannot avoid random error, statistical methods are essential for their efficient design and analysis. In this book, the fundamentals of optimum experimental design theory are presented. In the first part of the part of the book, the advantages of a statistical approach to the design of experiments are discussed, and the ideas ofmodels, least squares fitting, and optimum experimental designs are introduced. The second part presents a more detailed discussion of the general theory of optimum design and an evaluation of variouscriteria that may be appropriate for designing experiments. Specific experiments are detailed and algorithms for the construction of designs are given.Each chapter is a self-contained topic, illustrated with examples drawn from science and engineering. Little previous statistical knowledge is assumed, and the derivation of mathematical results has been avoided. This book should be of interest to everyone concerned with designing efficient experiments in the laboratory orin the industry. This book presents the fundamentals of optimum experimental design theory. Each chapter is a self-contained topic, illustrated with examples drawn from science and engineering. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condición: new. Hardcover. A well-designed experiment is an efficient method of learning about the world. Because experiments in the field and in the laboratory cannot avoid random error, statistical methods are essential for their efficient design and analysis. In this book, the fundamentals of optimum experimental design theory are presented. In the first part of the part of the book, the advantages of a statistical approach to the design of experiments are discussed, and the ideas ofmodels, least squares fitting, and optimum experimental designs are introduced. The second part presents a more detailed discussion of the general theory of optimum design and an evaluation of variouscriteria that may be appropriate for designing experiments. Specific experiments are detailed and algorithms for the construction of designs are given.Each chapter is a self-contained topic, illustrated with examples drawn from science and engineering. Little previous statistical knowledge is assumed, and the derivation of mathematical results has been avoided. This book should be of interest to everyone concerned with designing efficient experiments in the laboratory orin the industry. This book presents the fundamentals of optimum experimental design theory. Each chapter is a self-contained topic, illustrated with examples drawn from science and engineering. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condición: New. Print on Demand pp. 348.

Buch. Condición: Neu. Optimum Experimental Designs | A. C. Atkinson (u. a.) | Buch | Gebunden | Englisch | 1992 | OUP Oxford | EAN 9780198522546 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Condición: New. Print on Demand pp. 348 9:B&W 6 x 9 in or 229 x 152 mm Case Laminate on Creme w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 348.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A well-designed experiment is an efficient method for learning about the physical world, however since experiments in any setting cannot avoid random error, statistical methods are essential for their design and implementation, and for the analysis of results. In this book, the fundamentals ofoptimum experimental design theory are presented. In the first part, the advantages of a statistical approach to the design of experiments are discussed, and the ideas of models, least squares fitting, and optimum experimental designs are introduced. The second part presents a more detaileddiscussion of the general theory of optimum design and an evaluation of various criteria that may be appropriate for designing experiments. Specific experiments are detailed and algorithms for the construction of designs are given. Each chapter is a self-contained, illustrated with examples drawnfrom science and engineering. Little previous statistical knowledge is assumed, and the derivation of mathematical results has been avoided. This book should be of interest to everyone concerned with designing experiments that are practical, efficient, and accurate.