John F. Monahan – författare
Visar alla böcker från författaren John F. Monahan. Handla med fri frakt och snabb leverans.
6 produkter
Numerical Methods of Statistics
Häftad, 2011
944 kr
Lägg i varukorg
This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of …
Numerical Methods of Statistics
Inbunden, 2011
1872 kr
Lägg i varukorg
This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of …
Primer on Linear Models
E-bok, 2008
1195 kr
Lägg i varukorg
A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology of regression and analysis of variance (ANOVA). It seamlessly incorporates these concepts using non-full-rank design matrices and emphasizes the exact, finite sample …
Primer on Linear Models
Inbunden, 2017
3082 kr
Lägg i varukorg
A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology of regression and analysis of variance (ANOVA). It seamlessly incorporates these concepts using non-full-rank design matrices and emphasizes the exact, finite sample …
Primer on Linear Models
Häftad, 2008
1017 kr
Lägg i varukorg
A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology of regression and analysis of variance (ANOVA). It seamlessly incorporates these concepts using non-full-rank design matrices and emphasizes the exact, finite sample …
Primer on Linear Models
E-bok, 2008
1169 kr
Lägg i varukorg
A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology of regression and analysis of variance (ANOVA). It seamlessly incorporates these concepts using non-full-rank design matrices and emphasizes the exact, finite sample …
