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130626 ||| eng |
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|a 9783642016899
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| 100 |
1 |
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|a Genz, Alan
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| 245 |
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|a Computation of Multivariate Normal and t Probabilities
|h Elektronische Ressource
|c by Alan Genz, Frank Bretz
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| 250 |
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|a 1st ed. 2009
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2009, 2009
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| 300 |
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|a VIII, 126 p
|b online resource
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| 505 |
0 |
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|a Introduction -- Special Cases -- Methods That Approximate the Problem -- Methods That Approximate the Integral -- Further Topics: Linear Inequality Constraints -- Singular Distributions -- Singular Distributions -- Numerical Tests -- Software Implementations -- Applications -- Description of the R Functions -- Description of the MATLAB Functions
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| 653 |
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|a Statistical Theory and Methods
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| 653 |
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|a Statistics
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| 653 |
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|a Mathematical statistics / Data processing
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| 653 |
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|a Statistics and Computing
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| 700 |
1 |
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|a Bretz, Frank
|e [author]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Lecture Notes in Statistics
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| 028 |
5 |
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|a 10.1007/978-3-642-01689-9
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-642-01689-9?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 519.5
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| 520 |
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|a Multivariate normal and t probabilities are needed for statistical inference in many applications. Modern statistical computation packages provide functions for the computation of these probabilities for problems with one or two variables. This book describes recently developed methods for accurate and efficient computation of the required probability values for problems with two or more variables. The book discusses methods for specialized problems as well as methods for general problems. The book includes examples that illustrate the probability computations for a variety of applications
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