Statistical Computing / William J. Kennedy, Jr., James E. Gentle.
Material type: TextLanguage: English Series: Statistics : Textbooks and monographs ; 33 | Statistics, textbooks and monographs ; v. 33Publication details: New York : Marcel Dekker, c1980.Description: xi, 591 p. : ill. ; 24 cmISBN:- 0824768981 (hb)
- 9780824768980 (hb)
- 519.502854 23 KEN
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Reference Books | CUTN Central Library Sciences | Reference | 519.502854 KEN (Browse shelf(Opens below)) | Not For Loan | 42225 | |
General Books | CUTN Central Library Sciences | Non-fiction | 519.502854 KEN (Browse shelf(Opens below)) | Available | 42226 | |
General Books | CUTN Central Library Sciences | Non-fiction | 519.502854 KEN (Browse shelf(Opens below)) | Available | 42227 | |
General Books | CUTN Central Library Sciences | Non-fiction | 519.502854 KEN (Browse shelf(Opens below)) | Available | 42228 | |
General Books | CUTN Central Library Sciences | Non-fiction | 519.502854 KEN (Browse shelf(Opens below)) | Available | 42229 | |
General Books | CUTN Central Library Sciences | Non-fiction | 519.502854 KEN (Browse shelf(Opens below)) | Available | 42230 |
1. Introduction 2. computer organization 3. Error in floating-point computation 4. Programming and statistical software 5. Approximating probabilities and percentage points in selected probability distributions 6. Random numbers: Generation, Tests and applications 7. Selected computational methods in linear algebra 8. Computational methods for multiple linear regression analysis 9. Computational methods for classification models 10. Unconstrained optimization and nonlinear regression 11. Model fitting based on criteria other than least squares
Computer organization; Error in floating-point computation; Programming and statistical software; Approximating probabilities; and percentage points in selected probability distributions; Random Numbers; Generation, tests and applications; selected computational methods in linear algebra; Computational methods for multiple linear regression analysis; Computational methods for classification models; Unconstrained optimization and nonlinear regression; Model fitting based on criteria other tton least squares; Selected multivariate methods.
Includes bibliographies and index.
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