Practical Strategies for Experimenting
Written by a statistician with a wealth of experience in designing and implementing experimental trials, this is a clear and practical guide to conducting experiments. It is structured as a check-list, allowing the reader to follow easily the steps involved in the design, implementation and analysis of an effective experiment. The principles behind the planning processes are well introduced, and illustrated by examples drawn from real experiments.
* Describes real experiments and includes numerous examples
* Based on material used for successful industrial training courses
* Focuses on the principles of experimentation
* Mathematics is kept to a minimum, with emphasis on the qualitative aspects of experimentation
Primarily of interest to graduates from scientific and engineering disciplines who already have some knowledge of statistics, this coherent text will also be of use to consulting statisticians who advise experimenters or teach graduate students from scientific and engineering courses.
17 pages matching random in this book
Results 1-3 of 17
What people are saying - Write a review
We haven't found any reviews in the usual places.
Clarify the Objective
Summarize Beliefs and Uncertainties
Decide on a Strategy
7 other sections not shown
agalmatolite amount applied approximately average response bauxite bias blocks central composite design centre point conducted confounded considered contours correlation dashed line data analysis data points degrees of freedom discussed effect of factor error variance estimated EVOP Example experimental design experimental runs factorial experiment feldspar Figure fitted model fractional factorial design gentamicin grade graph important instance interactions investigated laboratory large number level of factor linear model mathematical mean measurement Methods noise normal old flux one-factor-at-a-time experiments optimum orthogonal outliers parameters particles plots possible precision predictions problem procedures process control quadratic surface quantity random range recording regression relevant replicates residual response surface methodology response variables sample preparation sampling and testing sampling error shown simulation solder Sometimes spacer square standard deviation statistical analysis statistical significance strategy sulphur dioxide Table Taguchi temperature Theory tiles treatment trend trials vary wave soldering