Open AccessBook
The design and analysis of experiments.
Reads0
Chats0
TLDR
In this article, Monterey describes a books design and analysis of experiments, and the pronouncement as without difficulty as perspicacity of this design and analyses of experiments montgomery can be taken as skillfully as picked to act.Abstract:
Yeah, reviewing a books design and analysis of experiments montgomery could mount up your close associates listings. This is just one of the solutions for you to be successful. As understood, achievement does not suggest that you have wonderful points. Comprehending as skillfully as covenant even more than extra will have enough money each success. next-door to, the pronouncement as without difficulty as perspicacity of this design and analysis of experiments montgomery can be taken as skillfully as picked to act. Page Urlread more
Citations
More filters
Journal ArticleDOI
Pseudofactors: Normal Use to Improve Design and Facilitate Analysis
Hervé Monod,R. A. Bailey +1 more
TL;DR: P pseudofactors are an inherently simple device to aid the construction and analysis of designed experiments and may be used to construct more efficient designs, and to give simpler or better analyses, than those recommended in the current literature.
Journal ArticleDOI
Word frequency and the unit sequence interference hypothesis in short-term memory
Alan D. Baddeley,Denise Scott +1 more
TL;DR: In this paper, it was concluded that unit-sequence interference is not an important variable in short-term memory, and that parallel forgetting of high and low frequency sequences was not an issue.
Book ChapterDOI
Statistical Inference for Irregularly Observed Processes
TL;DR: Various writers have set down block diagrams illustrating how scientific enquiry proceeds and how statistics impinges on that process.
Journal ArticleDOI
Randomization and the analysis of variance
TL;DR: This paper attempts to strengthen faith in randomization, first by defining it in general and by showing how it is the fundamental means, in many experiments, of generating the probability space.
Journal ArticleDOI
Sometimes Pooling for Analysis of Variance Hypothesis Tests: A Review and Study of a Split-Plot Model
TL;DR: This paper presented a review of the technical literature on pooling in analysis of variance (ANOVA) models for the purpose of hypothesis testing, and compared these studies to corresponding discussions found in statistical textbooks, concluding that pooling generally inflates Type I error and offers at best insubstantial gain in power and often power loss relative to the nominal test.