Modern applied biostatistical methods using S-Plus /:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York :
Oxford University Press,
1998.
|
| Schriftenreihe: | Monographs in epidemiology and biostatistics ;
v. 28. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 1 online resource (xiv, 461 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9780199747733 0199747733 1280759895 9781280759895 9786610759897 6610759898 |
Internformat
MARC
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| 245 | 1 | 0 | |a Modern applied biostatistical methods using S-Plus / |c Steve Selvin. |
| 260 | |a New York : |b Oxford University Press, |c 1998. | ||
| 300 | |a 1 online resource (xiv, 461 pages) : |b illustrations | ||
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| 490 | 1 | |a Monographs in epidemiology and biostatistics ; |v v. 28 | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |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 | |
| 505 | 8 | |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 | |
| 505 | 8 | |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 | |
| 505 | 8 | |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() | |
| 505 | 8 | |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 | |a English. | ||
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| 650 | 0 | |a Programming languages (Electronic computers) |0 http://id.loc.gov/authorities/subjects/sh85107313 | |
| 650 | 1 | 2 | |a Biometry |x methods |
| 650 | 2 | 2 | |a Programming Languages |
| 650 | 2 | |a Biometry |0 https://id.nlm.nih.gov/mesh/D001699 | |
| 650 | 6 | |a Biométrie. | |
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| 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. |0 http://id.loc.gov/authorities/names/n42017012 | |
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Datensatz im Suchindex
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| _version_ | 1816881716233502720 |
| adam_text | |
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| author | Selvin, S. |
| author_facet | Selvin, S. |
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| callnumber-sort | QH 3323.5 S448 41998EB |
| callnumber-subject | QH - Natural History and Biology |
| collection | ZDB-4-EBA |
| contents | 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 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 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 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() 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 |
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| dewey-sort | 3570 11 45195 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn607555414 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:17:07Z |
| institution | BVB |
| isbn | 9780199747733 0199747733 1280759895 9781280759895 9786610759897 6610759898 |
| language | English |
| oclc_num | 607555414 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xiv, 461 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 1998 |
| publishDateSearch | 1998 |
| publishDateSort | 1998 |
| publisher | Oxford University Press, |
| record_format | marc |
| series | Monographs in epidemiology and biostatistics ; |
| series2 | Monographs in epidemiology and biostatistics ; |
| spelling | Selvin, S. Modern applied biostatistical methods using S-Plus / Steve Selvin. New York : Oxford University Press, 1998. 1 online resource (xiv, 461 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Monographs in epidemiology and biostatistics ; v. 28 Includes bibliographical references and index. Print version record. Contents -- 1. S-language -- In the beginning -- Three data typesâ€?and some input conventions -- Reading values into SPLUS -- S-toolsâ€?a beginning set -- S-arithmetic -- More S-toolsâ€?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 Histogram smoothingâ€?density estimationStem-and-leaf display -- Comparison of groupsâ€?t-test -- Comparison of groupsâ€?boxplots -- Comparison of data to a theoretical distributionâ€?quantile plots -- Comparison of groupsâ€?qqplots -- xy-plot -- Three-dimensional plotsâ€?perspective plots -- Three-dimensional plotsâ€?contour plots -- Three-dimensional plotsâ€?rotation -- Smoothing -- Two-dimensional smoothing of spatial data -- Clusters as a description of data -- Additivityâ€?sweeping an array -- Exampleâ€?geographic calculations using S-functions 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 distributionâ€?acceptance/rejection sampling -- Random sample from a discrete probability distributionâ€?inverse transform method -- Binomial probability distribution -- Hypergeometric probability distribution -- Poisson probability distribution -- Geometric probability distribution 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 caseâ€?univariate linear regression -- Multivariable case -- Multivariable linear model -- A closer look at residual values -- Predictâ€?pointwise confidence intervals -- Formulas for glm() Polynomial regressionDiscriminant analysis -- Linear logistic model -- Categorical dataâ€?bivariate linear logistic model -- Multivariable dataâ€?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 English. S-Plus. http://id.loc.gov/authorities/names/n94051800 S-Plus S-Plus (Logiciel) S-Plus fast Biometry. http://id.loc.gov/authorities/subjects/sh85014244 Biology Data processing. http://id.loc.gov/authorities/subjects/sh85014206 Programming languages (Electronic computers) http://id.loc.gov/authorities/subjects/sh85107313 Biometry methods Programming Languages Biometry https://id.nlm.nih.gov/mesh/D001699 Biométrie. Biologie Informatique. Langages de programmation. biometrics. aat NATURE Reference. bisacsh SCIENCE Life Sciences General. bisacsh SCIENCE Life Sciences Biology. bisacsh Programming languages (Electronic computers) fast Biology Data processing fast Biometry fast Biometria. larpcal Linguagem de programação. larpcal Print version: Selvin, S. Modern applied biostatistical methods using S-Plus. New York : Oxford University Press, 1998 9780195120257 (DLC) 97019777 (OCoLC)37001392 Monographs in epidemiology and biostatistics ; v. 28. http://id.loc.gov/authorities/names/n42017012 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=315031 Volltext |
| spellingShingle | Selvin, S. Modern applied biostatistical methods using S-Plus / Monographs in epidemiology and biostatistics ; Contents -- 1. S-language -- In the beginning -- Three data typesâ€?and some input conventions -- Reading values into SPLUS -- S-toolsâ€?a beginning set -- S-arithmetic -- More S-toolsâ€?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 Histogram smoothingâ€?density estimationStem-and-leaf display -- Comparison of groupsâ€?t-test -- Comparison of groupsâ€?boxplots -- Comparison of data to a theoretical distributionâ€?quantile plots -- Comparison of groupsâ€?qqplots -- xy-plot -- Three-dimensional plotsâ€?perspective plots -- Three-dimensional plotsâ€?contour plots -- Three-dimensional plotsâ€?rotation -- Smoothing -- Two-dimensional smoothing of spatial data -- Clusters as a description of data -- Additivityâ€?sweeping an array -- Exampleâ€?geographic calculations using S-functions 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 distributionâ€?acceptance/rejection sampling -- Random sample from a discrete probability distributionâ€?inverse transform method -- Binomial probability distribution -- Hypergeometric probability distribution -- Poisson probability distribution -- Geometric probability distribution 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 caseâ€?univariate linear regression -- Multivariable case -- Multivariable linear model -- A closer look at residual values -- Predictâ€?pointwise confidence intervals -- Formulas for glm() Polynomial regressionDiscriminant analysis -- Linear logistic model -- Categorical dataâ€?bivariate linear logistic model -- Multivariable dataâ€?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 S-Plus. http://id.loc.gov/authorities/names/n94051800 S-Plus S-Plus (Logiciel) S-Plus fast Biometry. http://id.loc.gov/authorities/subjects/sh85014244 Biology Data processing. http://id.loc.gov/authorities/subjects/sh85014206 Programming languages (Electronic computers) http://id.loc.gov/authorities/subjects/sh85107313 Biometry methods Programming Languages Biometry https://id.nlm.nih.gov/mesh/D001699 Biométrie. Biologie Informatique. Langages de programmation. biometrics. aat NATURE Reference. bisacsh SCIENCE Life Sciences General. bisacsh SCIENCE Life Sciences Biology. bisacsh Programming languages (Electronic computers) fast Biology Data processing fast Biometry fast Biometria. larpcal Linguagem de programação. larpcal |
| subject_GND | http://id.loc.gov/authorities/names/n94051800 http://id.loc.gov/authorities/subjects/sh85014244 http://id.loc.gov/authorities/subjects/sh85014206 http://id.loc.gov/authorities/subjects/sh85107313 https://id.nlm.nih.gov/mesh/D001699 |
| title | Modern applied biostatistical methods using S-Plus / |
| title_auth | Modern applied biostatistical methods using S-Plus / |
| title_exact_search | Modern applied biostatistical methods using S-Plus / |
| title_full | Modern applied biostatistical methods using S-Plus / Steve Selvin. |
| title_fullStr | Modern applied biostatistical methods using S-Plus / Steve Selvin. |
| title_full_unstemmed | Modern applied biostatistical methods using S-Plus / Steve Selvin. |
| title_short | Modern applied biostatistical methods using S-Plus / |
| title_sort | modern applied biostatistical methods using s plus |
| topic | S-Plus. http://id.loc.gov/authorities/names/n94051800 S-Plus S-Plus (Logiciel) S-Plus fast Biometry. http://id.loc.gov/authorities/subjects/sh85014244 Biology Data processing. http://id.loc.gov/authorities/subjects/sh85014206 Programming languages (Electronic computers) http://id.loc.gov/authorities/subjects/sh85107313 Biometry methods Programming Languages Biometry https://id.nlm.nih.gov/mesh/D001699 Biométrie. Biologie Informatique. Langages de programmation. biometrics. aat NATURE Reference. bisacsh SCIENCE Life Sciences General. bisacsh SCIENCE Life Sciences Biology. bisacsh Programming languages (Electronic computers) fast Biology Data processing fast Biometry fast Biometria. larpcal Linguagem de programação. larpcal |
| topic_facet | S-Plus. S-Plus S-Plus (Logiciel) Biometry. Biology Data processing. Programming languages (Electronic computers) Biometry methods Programming Languages Biometry Biométrie. Biologie Informatique. Langages de programmation. biometrics. NATURE Reference. SCIENCE Life Sciences General. SCIENCE Life Sciences Biology. Biology Data processing Biometria. Linguagem de programação. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=315031 |
| work_keys_str_mv | AT selvins modernappliedbiostatisticalmethodsusingsplus |