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|b .S448 1998eb
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|b MO567LT v.28 1998
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|b S469m 1998
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|a UAMI
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| 100 |
1 |
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|a Selvin, S.
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| 245 |
1 |
0 |
|a Modern applied biostatistical methods using S-Plus /
|c Steve Selvin.
|
| 260 |
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|a New York :
|b Oxford University Press,
|c 1998.
|
| 300 |
|
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|a 1 online resource (xiv, 461 pages) :
|b illustrations
|
| 336 |
|
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|a text
|b txt
|2 rdacontent
|
| 337 |
|
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|a computer
|b c
|2 rdamedia
|
| 338 |
|
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Monographs in epidemiology and biostatistics ;
|v v. 28
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| 504 |
|
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|a Includes bibliographical references and index.
|
| 588 |
0 |
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|a Print version record.
|
| 505 |
0 |
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|a Contents -- 1. S-language -- In the beginning -- Three data types�and some input conventions -- Reading values into SPLUS -- S-tools�a beginning set -- S-arithmetic -- More S-tools�intermediate set -- S-tools for statistics -- Statistical distributions in SPLUS -- Arrays and tables -- Matrix algebra tools -- Some additional S-tools -- Four S-code examples -- The .Data file -- Addendum: Built-in editors -- Problem set I -- 2. Descriptive Techniques -- Description of descriptive statistics -- Basic statistical measures
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| 505 |
8 |
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|a Histogram smoothing�density estimationStem-and-leaf display -- Comparison of groups�t-test -- Comparison of groups�boxplots -- Comparison of data to a theoretical distribution�quantile plots -- Comparison of groups�qqplots -- xy-plot -- Three-dimensional plots�perspective plots -- Three-dimensional plots�contour plots -- Three-dimensional plots�rotation -- Smoothing -- Two-dimensional smoothing of spatial data -- Clusters as a description of data -- Additivity�sweeping an array -- Example�geographic calculations using S-functions
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| 505 |
8 |
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|a Estimation of the center of a two-dimensional distributionAddendum: S-geometry -- Problem set II -- 3. Simulation: Random Values -- Random uniform values -- An example -- Sampling without and with replacement -- Random sample from a discrete probability distribution�acceptance/rejection sampling -- Random sample from a discrete probability distribution�inverse transform method -- Binomial probability distribution -- Hypergeometric probability distribution -- Poisson probability distribution -- Geometric probability distribution
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| 505 |
8 |
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|a Random samples from a continuous distributionInverse transform method -- Simulating values from the normal distribution -- Four other statistical distributions -- Simulating minimum and maximum values -- Butler's method -- Random values over a complex region -- Multivariate normal variables -- Problem set III -- 4. General Linear Models -- Simplest case�univariate linear regression -- Multivariable case -- Multivariable linear model -- A closer look at residual values -- Predict�pointwise confidence intervals -- Formulas for glm()
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| 505 |
8 |
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|a Polynomial regressionDiscriminant analysis -- Linear logistic model -- Categorical data�bivariate linear logistic model -- Multivariable data�linear logistic model -- Goodness-of-fit -- Poisson model -- Multivariable Poisson model -- Problem set IV -- 5. Estimation -- Estimation: Maximum Likelihood -- Estimator properties -- Maximum likelihood estimator -- Scoring to find maximum likelihood estimates -- Multiparameter estimation -- Generalized scoring -- Estimation: Bootstrap -- Background -- General outline
|
| 546 |
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|a English.
|
| 590 |
|
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
|
| 630 |
0 |
0 |
|a S-Plus.
|
| 630 |
0 |
2 |
|a S-Plus
|
| 630 |
0 |
6 |
|a S-Plus (Logiciel)
|
| 630 |
0 |
7 |
|a S-Plus
|2 fast
|
| 650 |
|
0 |
|a Biometry.
|
| 650 |
|
0 |
|a Biology
|x Data processing.
|
| 650 |
|
0 |
|a Programming languages (Electronic computers)
|
| 650 |
1 |
2 |
|a Biometry
|x methods
|
| 650 |
2 |
2 |
|a Programming Languages
|
| 650 |
|
2 |
|a Biometry
|
| 650 |
|
6 |
|a Biométrie.
|
| 650 |
|
6 |
|a Biologie
|x Informatique.
|
| 650 |
|
6 |
|a Langages de programmation.
|
| 650 |
|
7 |
|a biometrics.
|2 aat
|
| 650 |
|
7 |
|a NATURE
|x Reference.
|2 bisacsh
|
| 650 |
|
7 |
|a SCIENCE
|x Life Sciences
|x General.
|2 bisacsh
|
| 650 |
|
7 |
|a SCIENCE
|x Life Sciences
|x Biology.
|2 bisacsh
|
| 650 |
|
7 |
|a Programming languages (Electronic computers)
|2 fast
|
| 650 |
|
7 |
|a Biology
|x Data processing
|2 fast
|
| 650 |
|
7 |
|a Biometry
|2 fast
|
| 650 |
|
7 |
|a Biometria.
|2 larpcal
|
| 650 |
|
7 |
|a Linguagem de programação.
|2 larpcal
|
| 776 |
0 |
8 |
|i Print version:
|a Selvin, S.
|t Modern applied biostatistical methods using S-Plus.
|d New York : Oxford University Press, 1998
|z 9780195120257
|w (DLC) 97019777
|w (OCoLC)37001392
|
| 830 |
|
0 |
|a Monographs in epidemiology and biostatistics ;
|v v. 28.
|
| 856 |
4 |
0 |
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