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Titlebook: Analysis of Variance in Experimental Design; Harold R. Lindman Textbook 1992 Springer-Verlag New York, Inc. 1992 Factor.Matrix.SAS.Statist

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期刊全称Analysis of Variance in Experimental Design
影响因子2023Harold R. Lindman
视频video
学科分类Springer Texts in Statistics
图书封面Titlebook: Analysis of Variance in Experimental Design;  Harold R. Lindman Textbook 1992 Springer-Verlag New York, Inc. 1992 Factor.Matrix.SAS.Statist
影响因子As an introductory textbook on the analysis of variance or a reference for the researcher, this text stresses applications rather than theory, but gives enough theory to enable the reader to apply the methods intelligently rather than mechanically. Comprehensive, and covering the important techniques in the field, including new methods of post hoc testing. The relationships between different research designs are emphasized, and these relationships are exploited to develop general principles which are generalized to the analyses of a large number of seemingly differentdesigns. Primarily for graduate students in any field where statistics are used.
Pindex Textbook 1992
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发表于 2025-3-21 23:47:36 | 显示全部楼层
Nested Designs,tain scores in every cell. This chapter and the next discuss some designs in which not all cells contain scores. These . are convenient for some purposes, but they also have disadvantages. When choosing a design, the advantages and disadvantages must be weighed against each other.
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Basic Matrix Algebra, know no matrix algebra, it should teach you enough to understand the remaining chapters. If you are not sure of your knowledge of matrix algebra, you should probably at least scan this material. If you already have a basic knowledge of matrix algebra, you may skip most of this chapter, although you should read at least the last section.
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The Ethics of Advocacy and Consent,tain scores in every cell. This chapter and the next discuss some designs in which not all cells contain scores. These . are convenient for some purposes, but they also have disadvantages. When choosing a design, the advantages and disadvantages must be weighed against each other.
发表于 2025-3-22 18:14:22 | 显示全部楼层
E. C. Jansen,K. Jansen,J. Pedersen know no matrix algebra, it should teach you enough to understand the remaining chapters. If you are not sure of your knowledge of matrix algebra, you should probably at least scan this material. If you already have a basic knowledge of matrix algebra, you may skip most of this chapter, although you should read at least the last section.
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https://doi.org/10.1007/978-1-4613-9722-9Factor; Matrix; SAS; Statistica; Variance; algebra; analysis of variance; boundary element method; field; mod
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