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Titlebook: Intermediate Statistical Methods; G. Barrie Wetherill Book 1981 G Barrie Wetherill 1981 analysis of variance.classification.correlation.es

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发表于 2025-3-21 17:52:49 | 显示全部楼层 |阅读模式
书目名称Intermediate Statistical Methods
编辑G. Barrie Wetherill
视频video
图书封面Titlebook: Intermediate Statistical Methods;  G. Barrie Wetherill Book 1981 G Barrie Wetherill 1981 analysis of variance.classification.correlation.es
描述This book began many years ago as course notes for students at the University of Bath, and later at the University of Kent. Students used draft versions of the chapters, which were consequently revised. Second and third year students, as well as those taking MSc courses have used selections of the chapters. In particular, Chapters I to 7 (only) have been the basis of a very successful second-year course, the more difficult sections being omitted. The aims of this particular course were:- (a) to cover some interesting and useful applications of statistics with an emphasis on applications, but with really adequate theory; (b) to lay the foundations for interesting third-year courses; (c) to tie up with certain areas of pure mathematics and numerical analysis. 2 Students will find Chapter I a useful means of revising the t, X and F procedures, which is material assumed in this text, see Section 1.1. Later sections of Chapter I cover robustness and can be omitted by second-year students or at a first reading. Chapter 2 introduces some simple statistical models, so that the discussion of later chapters is more meaningful.
出版日期Book 1981
关键词analysis of variance; classification; correlation; estimator; experiment; generalized linear model; intera
版次1
doihttps://doi.org/10.1007/978-94-009-5836-4
isbn_softcover978-0-412-16450-7
isbn_ebook978-94-009-5836-4
copyrightG Barrie Wetherill 1981
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发表于 2025-3-21 22:37:04 | 显示全部楼层
https://doi.org/10.1007/978-94-009-5836-4analysis of variance; classification; correlation; estimator; experiment; generalized linear model; intera
发表于 2025-3-22 03:15:03 | 显示全部楼层
Regression and the linear model,A key feature in most statistical analyses is a statistical model and it will be helpful to look at examples of some simple models, and then discuss some terminology.
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发表于 2025-3-22 11:17:53 | 显示全部楼层
The method of least squares,In the next three chapters we shall discuss a particular form of statistical model, which gives rise to simple statistical methods of very wide applicability. The basic model has been mentioned in Section 2.1, Equation (2.2), see also Example 3.12, but the following example illustrates how it arises in practice.
发表于 2025-3-22 13:02:57 | 显示全部楼层
Polynomial regression,We now consider a rather special application of regression, illustrated by the following examples.
发表于 2025-3-22 17:20:55 | 显示全部楼层
Correlation,A popular measure of the relationship between two variables is the ., which is defined in populations as . and an estimator is given by . We shall refer to a particular value of the sample coefficient by
发表于 2025-3-22 23:02:23 | 显示全部楼层
An analysis of data on trees,The preceding chapters have already made several applications of the extra sum-of-squares principle discussed in Section 6.1. This chapter contains an analysis of some data published by Pearce (1965), and it serves to give some further illustrations of the use of this principle.
发表于 2025-3-23 03:32:32 | 显示全部楼层
发表于 2025-3-23 05:56:11 | 显示全部楼层
Crossed classifications,In this chapter we shall be discussing the analysis of variance for crossed classifications. The following example will be used to illustrate the methods used.
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