ACID
发表于 2025-3-21 17:16:51
书目名称Linear Models in Matrix Form影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0586347<br><br> <br><br>书目名称Linear Models in Matrix Form影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0586347<br><br> <br><br>书目名称Linear Models in Matrix Form网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0586347<br><br> <br><br>书目名称Linear Models in Matrix Form网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0586347<br><br> <br><br>书目名称Linear Models in Matrix Form被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0586347<br><br> <br><br>书目名称Linear Models in Matrix Form被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0586347<br><br> <br><br>书目名称Linear Models in Matrix Form年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0586347<br><br> <br><br>书目名称Linear Models in Matrix Form年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0586347<br><br> <br><br>书目名称Linear Models in Matrix Form读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0586347<br><br> <br><br>书目名称Linear Models in Matrix Form读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0586347<br><br> <br><br>
中古
发表于 2025-3-21 21:45:44
Jonathon D. BrownComprehensively covers use of linear models in matrix form.Utilizes R and open source spreadsheets as standard tools for algebraic calculations.Many examples and full-color screenshots data files to h
半圆凿
发表于 2025-3-22 02:30:57
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Common-Migraine
发表于 2025-3-22 05:21:01
Simple Linear Regression,Chapter 1 introduced you to a variety of matrix properties and operations. Among other things, you learned how to use the determinant and inverse of a matrix to solve equations with unknown quantities. In the remainder of this book, you will use these operations to perform a wide variety of statistical analyses.
dyspareunia
发表于 2025-3-22 09:28:34
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lavish
发表于 2025-3-22 15:25:02
Analysis of Covariance,In Chaps. . and ., we learned that multiple regression can be used to analyze data with categorical predictors. In the next three chapters, we will extend our coverage to include designs that combine categorical and continuous predictors.
Creatinine-Test
发表于 2025-3-22 20:16:24
Cross-Product Terms and Interactions,n of a criterion holding all other variables constant. Because the coefficients are statistically independent, a one-unit change in .. predicts a .. change in . across all levels of ... This . (as it is called) is demanded by the form of an ordinary linear regression model:
Benign
发表于 2025-3-23 00:15:58
Factorial Designs,lso be used with designs that combine two or more categorical predictors. In most cases, the categorical variables are crossed to form a factorial design. In this chapter, you will learn how to use multiple regression to analyze and interpret factorial designs.
细微的差异
发表于 2025-3-23 02:46:02
978-3-319-34569-7Springer International Publishing Switzerland 2014
GEON
发表于 2025-3-23 07:57:28
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