Rudolf J. Freund – författare
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8 produkter
Statistical Methods
Av William J. Wilson, Rudolf J. Freund
E-bok, 2003
750 kr
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This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and …
Regression Analysis
Av Ping Sa, William J. Wilson m. fl.
E-bok, 2006
1247 kr
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Regression Analysis provides complete coverage of the classical methods of statistical analysis. It is designed to give students an understanding of the purpose of statistical analyses, to allow the student to determine, at least to some degree, the correct type of statistical analyses to be …
Regression Analysis IM
Av Ping Sa, William J. Wilson m. fl.
E-bok, 2006
126 kr
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Regression Analysis IM
Regression Analysis
Av Rudolf J. Freund, William J. Wilson m. fl.
Inbunden, 2006
1066 kr
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Regression Analysis provides complete coverage of the classical methods of statistical analysis. It is designed to give students an understanding of the purpose of statistical analyses, to allow the student to determine, at least to some degree, the correct type of statistical analyses to be …
Regression Analysis Study Guide
Av Rudolf J. Freund, William J. Wilson m. fl.
Häftad, 2006
404 kr
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Statistical Methods, Students Solutions Manual (e-only)
E-bok, 2010
129 kr
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Statistical Methods, Students Solutions Manual (e-only)
Statistical Methods
Av Donna L. Mohr, William J. Wilson m. fl.
Häftad, 2021
854 kr
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Statistical Methods, Fourth Edition, is designed to introduce students to a wide-range of popular and practical statistical techniques. Requiring a minimum of advanced mathematics, it is suitable for undergraduates in statistics, or graduate students in the physical, life, and social sciences. By …
Statistical Methods
Av Rudolf J. Freund, William J. Wilson m. fl.
E-bok, 2021
1174 kr
Lägg i varukorg
Statistical Methods, Fourth Edition, is designed to introduce students to a wide-range of popular and practical statistical techniques. Requiring a minimum of advanced mathematics, it is suitable for undergraduates in statistics, or graduate students in the physical, life, and social sciences. By …