Name: statistical principles for the design of experiments: applications to real experiments (en Inglés)
SKU: 19295030
Price: 523738.00 COP
Availability: InStock
Author: Mead, R. ; Gilmour, S. G. ; Mead, A.
ISBN: 9780521862141

portada statistical principles for the design of experiments: applications to real experiments (en Inglés)

statistical principles for the design of experiments: applications to real experiments (en Inglés)

Formato

Libro Físico

Autor

R. Mead

S. G. Gilmour

A. Mead

Editorial

Cambridge University Press

Año

2012

Idioma

Inglés

N° páginas

572

Encuadernación

Tapa Dura

Dimensiones

26.2x18.8x3.6 cm

Peso

1.32 kg.

ISBN

0521862140

ISBN13

9780521862141

Categorías

Probabilidad y estadística

statistical principles for the design of experiments: applications to real experiments (en Inglés)

R. Mead (Autor) · S. G. Gilmour (Autor) · A. Mead (Autor) · Cambridge University Press · Tapa Dura

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Reseña del libro "statistical principles for the design of experiments: applications to real experiments (en Inglés)"

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.