9780521862141 - Statistical Principles for the Design of Experiments: Applications to Real Experiments: 36 Cambridge Series in Statistical and Probabilistic Mathematics, Series Num... (24 results)

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Condition: New. Focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in various disciplines. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 586 pages, 200 b/w illus. 400 tables 80 exercises. BIC Classification: PBT; PBWH; PDN. Category: (U) Tertiary Education (US: College). Dimension: 264 x 187 x 35. Weight in Grams: 1320. Applications to Real Experiments. Series: Cambridge Series in Statistical and Probabilistic Mathematics. 586 pages, 200 b/w illus. 400 tables 80 exercises. Focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in various disciplines. Cateogry: (U) Tertiary Education (US: College). BIC Classification: PBT; PBWH; PDN. Dimension: 264 x 187 x 35. Weight: 1328. . 2012. 1st Edition. Hardcover. . . . .

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Hardback. Condition: New. 1st. This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project. Based on Roger Mead's excellent Design of Experiments, this new edition is thoroughly revised and updated to include modern methods relevant to applications in industry, engineering and modern biology. It also contains seven new chapters on contemporary topics, including restricted randomisation and fractional replication.

Condition: New. Focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in various disciplines. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 586 pages, 200 b/w illus. 400 tables 80 exercises. BIC Classification: PBT; PBWH; PDN. Category: (U) Tertiary Education (US: College). Dimension: 264 x 187 x 35. Weight in Grams: 1320. Applications to Real Experiments. Series: Cambridge Series in Statistical and Probabilistic Mathematics. 586 pages, 200 b/w illus. 400 tables 80 exercises. Focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in various disciplines. Cateogry: (U) Tertiary Education (US: College). BIC Classification: PBT; PBWH; PDN. Dimension: 264 x 187 x 35. Weight: 1328. . 2012. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Gebunden. Condition: New. This book focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in a variety of disciplines, including biological and physical sciences, engineering, medicine and agriculture. It contains nu.

Condition: New. pp. 586 2nd Edition.

Hardcover. Condition: Brand New. 1st edition. 600 pages. 10.31x1.42x7.24 inches. In Stock.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project. Based on Roger Mead's excellent Design of Experiments, this new edition is thoroughly revised and updated to include modern methods relevant to applications in industry, engineering and modern biology. It also contains seven new chapters on contemporary topics, including restricted randomisation and fractional replication.

Hardback. Condition: New. 1st. This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project. Based on Roger Mead's excellent Design of Experiments, this new edition is thoroughly revised and updated to include modern methods relevant to applications in industry, engineering and modern biology. It also contains seven new chapters on contemporary topics, including restricted randomisation and fractional replication.

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Hardcover. Condition: new. Hardcover. This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project. Based on Roger Mead's excellent Design of Experiments, this new edition is thoroughly revised and updated to include modern methods relevant to applications in industry, engineering and modern biology. It also contains seven new chapters on contemporary topics, including restricted randomisation and fractional replication. This book focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in a variety of disciplines, including biological and physical sciences, engineering, medicine and agriculture. It contains numerous exercises and a wide range of examples drawn from real experiments. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: Brand New. 1st edition. 600 pages. 10.31x1.42x7.24 inches. In Stock. This item is printed on demand.

Hardcover. Condition: new. Hardcover. This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project. Based on Roger Mead's excellent Design of Experiments, this new edition is thoroughly revised and updated to include modern methods relevant to applications in industry, engineering and modern biology. It also contains seven new chapters on contemporary topics, including restricted randomisation and fractional replication. This book focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in a variety of disciplines, including biological and physical sciences, engineering, medicine and agriculture. It contains numerous exercises and a wide range of examples drawn from real experiments. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New. Print on Demand pp. 586 200 Illus.

Condition: New. PRINT ON DEMAND pp. 586.

Buch. Condition: Neu. Statistical Principles for the Design of Experiments | R. Mead (u. a.) | Buch | Gebunden | Englisch | 2012 | Cambridge University Press | EAN 9780521862141 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Hardcover. Condition: new. Hardcover. This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project. Based on Roger Mead's excellent Design of Experiments, this new edition is thoroughly revised and updated to include modern methods relevant to applications in industry, engineering and modern biology. It also contains seven new chapters on contemporary topics, including restricted randomisation and fractional replication. This book focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in a variety of disciplines, including biological and physical sciences, engineering, medicine and agriculture. It contains numerous exercises and a wide range of examples drawn from real experiments. 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.