Data analysis with Stata :: explore the big data field and learn how to perform data analytics and predictive modeling in Stata /
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
2015.
|
| Schriftenreihe: | Professional expertise distilled.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Includes index. |
| Beschreibung: | 1 online resource : illustrations (some color) |
| ISBN: | 1782173188 9781782173182 |
Internformat
MARC
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| 008 | 151106s2015 enka o 001 0 eng d | ||
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| 245 | 1 | 0 | |a Data analysis with Stata : |b explore the big data field and learn how to perform data analytics and predictive modeling in Stata / |c Prasad Kothari. |
| 260 | |a Birmingham, UK : |b Packt Publishing, |c 2015. | ||
| 300 | |a 1 online resource : |b illustrations (some color) | ||
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| 490 | 1 | |a Professional expertise distilled | |
| 500 | |a Includes index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover ; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introduction to Stata and Data Analytics ; Introducing data analytics; The Stata interface; Data-storing techniques in Stata; Directories and folders in Stata; Reading data in Stata; Insheet; Infix; The Stat/Transfer program; Manual typing or copy and paste; Variables and data types; Indicators or data variables; Examining the data; How to subset the data file using IN and IF; Summary; Chapter 2: Stata Programming and Data Management. | |
| 505 | 8 | |a The labeling of data, variables, and variable transformationsSummarizing the data and preparing tabulated reports; Appending and merging the files for data management; Macros; Loops in Stata; While loops; Summary; Chapter 3: Data Visualization ; Scatter plots; Line plots; Histograms and other charts; Box plots; Pie charts; Pyramidal graphs; Vio plots; Ci plots; Statistical calculations in graphs; Curve fitting in Stata; Summary; Chapter 4: Important Statistical Tests in Stata ; T tests; Two independent sample t tests; The chi-square goodness of fit test; ANOVA. | |
| 505 | 8 | |a One-way repeated ANOVA measuresMANOVA; Fisher's exact test; The Wilcoxon-Mann-Whitney test; Summary; Chapter 5: Linear Regression in Stata ; Linear regression; Linear regression code in Stata; Variance inflation factor and multicollinearity; Homoscedasticity; Summary; Chapter 6: Logistic Regression in Stata ; The logistic regression concept; Logit; Logistic regression in Stata; Logistic regression for finance (loans and credit cards); Summary; Chapter 7: Survey Analysis in Stata ; Survey analysis concepts; Survey analysis in Stata code; Cluster sampling; Summary. | |
| 505 | 8 | |a Chapter 8 : Time Series Analysis in StataTime series analysis concepts; Code for time series analysis in Stata; Summary; Chapter 9: Survival Analysis in Stata ; Survival analysis concepts; Applications and code in Stata for survival analysis; Building a model; Proportionality assumption; Summary; Index. | |
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| 650 | 6 | |a Recherche quantitative. | |
| 650 | 6 | |a Données volumineuses. | |
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| 650 | 7 | |a Big data |2 fast | |
| 650 | 7 | |a Quantitative research |2 fast | |
| 758 | |i has work: |a Data analysis with Stata (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFQyDJdXmdVW9gk6yf9TDy |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Kothari, Prasad. |t Data Analysis with Stata. |d Birmingham : Packt Publishing Ltd, ©2015 |z 9781782173175 |
| 830 | 0 | |a Professional expertise distilled. | |
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| author | Kothari, Prasad |
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| contents | Cover ; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introduction to Stata and Data Analytics ; Introducing data analytics; The Stata interface; Data-storing techniques in Stata; Directories and folders in Stata; Reading data in Stata; Insheet; Infix; The Stat/Transfer program; Manual typing or copy and paste; Variables and data types; Indicators or data variables; Examining the data; How to subset the data file using IN and IF; Summary; Chapter 2: Stata Programming and Data Management. The labeling of data, variables, and variable transformationsSummarizing the data and preparing tabulated reports; Appending and merging the files for data management; Macros; Loops in Stata; While loops; Summary; Chapter 3: Data Visualization ; Scatter plots; Line plots; Histograms and other charts; Box plots; Pie charts; Pyramidal graphs; Vio plots; Ci plots; Statistical calculations in graphs; Curve fitting in Stata; Summary; Chapter 4: Important Statistical Tests in Stata ; T tests; Two independent sample t tests; The chi-square goodness of fit test; ANOVA. One-way repeated ANOVA measuresMANOVA; Fisher's exact test; The Wilcoxon-Mann-Whitney test; Summary; Chapter 5: Linear Regression in Stata ; Linear regression; Linear regression code in Stata; Variance inflation factor and multicollinearity; Homoscedasticity; Summary; Chapter 6: Logistic Regression in Stata ; The logistic regression concept; Logit; Logistic regression in Stata; Logistic regression for finance (loans and credit cards); Summary; Chapter 7: Survey Analysis in Stata ; Survey analysis concepts; Survey analysis in Stata code; Cluster sampling; Summary. Chapter 8 : Time Series Analysis in StataTime series analysis concepts; Code for time series analysis in Stata; Summary; Chapter 9: Survival Analysis in Stata ; Survival analysis concepts; Applications and code in Stata for survival analysis; Building a model; Proportionality assumption; Summary; Index. |
| ctrlnum | (OCoLC)927973409 |
| dewey-full | 005.13/3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.13/3 |
| dewey-search | 005.13/3 |
| dewey-sort | 15.13 13 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn927973409 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:26:53Z |
| institution | BVB |
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| language | English |
| oclc_num | 927973409 |
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| series2 | Professional expertise distilled |
| spelling | Kothari, Prasad, author. http://id.loc.gov/authorities/names/no2016023177 Data analysis with Stata : explore the big data field and learn how to perform data analytics and predictive modeling in Stata / Prasad Kothari. Birmingham, UK : Packt Publishing, 2015. 1 online resource : illustrations (some color) text txt rdacontent computer c rdamedia online resource cr rdacarrier Professional expertise distilled Includes index. Print version record. Cover ; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introduction to Stata and Data Analytics ; Introducing data analytics; The Stata interface; Data-storing techniques in Stata; Directories and folders in Stata; Reading data in Stata; Insheet; Infix; The Stat/Transfer program; Manual typing or copy and paste; Variables and data types; Indicators or data variables; Examining the data; How to subset the data file using IN and IF; Summary; Chapter 2: Stata Programming and Data Management. The labeling of data, variables, and variable transformationsSummarizing the data and preparing tabulated reports; Appending and merging the files for data management; Macros; Loops in Stata; While loops; Summary; Chapter 3: Data Visualization ; Scatter plots; Line plots; Histograms and other charts; Box plots; Pie charts; Pyramidal graphs; Vio plots; Ci plots; Statistical calculations in graphs; Curve fitting in Stata; Summary; Chapter 4: Important Statistical Tests in Stata ; T tests; Two independent sample t tests; The chi-square goodness of fit test; ANOVA. One-way repeated ANOVA measuresMANOVA; Fisher's exact test; The Wilcoxon-Mann-Whitney test; Summary; Chapter 5: Linear Regression in Stata ; Linear regression; Linear regression code in Stata; Variance inflation factor and multicollinearity; Homoscedasticity; Summary; Chapter 6: Logistic Regression in Stata ; The logistic regression concept; Logit; Logistic regression in Stata; Logistic regression for finance (loans and credit cards); Summary; Chapter 7: Survey Analysis in Stata ; Survey analysis concepts; Survey analysis in Stata code; Cluster sampling; Summary. Chapter 8 : Time Series Analysis in StataTime series analysis concepts; Code for time series analysis in Stata; Summary; Chapter 9: Survival Analysis in Stata ; Survival analysis concepts; Applications and code in Stata for survival analysis; Building a model; Proportionality assumption; Summary; Index. English. Stata. http://id.loc.gov/authorities/names/n88156843 Stata fast Quantitative research. http://id.loc.gov/authorities/subjects/sh2007000909 Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Recherche quantitative. Données volumineuses. COMPUTERS Programming General. bisacsh Big data fast Quantitative research fast has work: Data analysis with Stata (Text) https://id.oclc.org/worldcat/entity/E39PCFQyDJdXmdVW9gk6yf9TDy https://id.oclc.org/worldcat/ontology/hasWork Print version: Kothari, Prasad. Data Analysis with Stata. Birmingham : Packt Publishing Ltd, ©2015 9781782173175 Professional expertise distilled. FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1087968 Volltext |
| spellingShingle | Kothari, Prasad Data analysis with Stata : explore the big data field and learn how to perform data analytics and predictive modeling in Stata / Professional expertise distilled. Cover ; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introduction to Stata and Data Analytics ; Introducing data analytics; The Stata interface; Data-storing techniques in Stata; Directories and folders in Stata; Reading data in Stata; Insheet; Infix; The Stat/Transfer program; Manual typing or copy and paste; Variables and data types; Indicators or data variables; Examining the data; How to subset the data file using IN and IF; Summary; Chapter 2: Stata Programming and Data Management. The labeling of data, variables, and variable transformationsSummarizing the data and preparing tabulated reports; Appending and merging the files for data management; Macros; Loops in Stata; While loops; Summary; Chapter 3: Data Visualization ; Scatter plots; Line plots; Histograms and other charts; Box plots; Pie charts; Pyramidal graphs; Vio plots; Ci plots; Statistical calculations in graphs; Curve fitting in Stata; Summary; Chapter 4: Important Statistical Tests in Stata ; T tests; Two independent sample t tests; The chi-square goodness of fit test; ANOVA. One-way repeated ANOVA measuresMANOVA; Fisher's exact test; The Wilcoxon-Mann-Whitney test; Summary; Chapter 5: Linear Regression in Stata ; Linear regression; Linear regression code in Stata; Variance inflation factor and multicollinearity; Homoscedasticity; Summary; Chapter 6: Logistic Regression in Stata ; The logistic regression concept; Logit; Logistic regression in Stata; Logistic regression for finance (loans and credit cards); Summary; Chapter 7: Survey Analysis in Stata ; Survey analysis concepts; Survey analysis in Stata code; Cluster sampling; Summary. Chapter 8 : Time Series Analysis in StataTime series analysis concepts; Code for time series analysis in Stata; Summary; Chapter 9: Survival Analysis in Stata ; Survival analysis concepts; Applications and code in Stata for survival analysis; Building a model; Proportionality assumption; Summary; Index. Stata. http://id.loc.gov/authorities/names/n88156843 Stata fast Quantitative research. http://id.loc.gov/authorities/subjects/sh2007000909 Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Recherche quantitative. Données volumineuses. COMPUTERS Programming General. bisacsh Big data fast Quantitative research fast |
| subject_GND | http://id.loc.gov/authorities/names/n88156843 http://id.loc.gov/authorities/subjects/sh2007000909 http://id.loc.gov/authorities/subjects/sh2012003227 |
| title | Data analysis with Stata : explore the big data field and learn how to perform data analytics and predictive modeling in Stata / |
| title_auth | Data analysis with Stata : explore the big data field and learn how to perform data analytics and predictive modeling in Stata / |
| title_exact_search | Data analysis with Stata : explore the big data field and learn how to perform data analytics and predictive modeling in Stata / |
| title_full | Data analysis with Stata : explore the big data field and learn how to perform data analytics and predictive modeling in Stata / Prasad Kothari. |
| title_fullStr | Data analysis with Stata : explore the big data field and learn how to perform data analytics and predictive modeling in Stata / Prasad Kothari. |
| title_full_unstemmed | Data analysis with Stata : explore the big data field and learn how to perform data analytics and predictive modeling in Stata / Prasad Kothari. |
| title_short | Data analysis with Stata : |
| title_sort | data analysis with stata explore the big data field and learn how to perform data analytics and predictive modeling in stata |
| title_sub | explore the big data field and learn how to perform data analytics and predictive modeling in Stata / |
| topic | Stata. http://id.loc.gov/authorities/names/n88156843 Stata fast Quantitative research. http://id.loc.gov/authorities/subjects/sh2007000909 Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Recherche quantitative. Données volumineuses. COMPUTERS Programming General. bisacsh Big data fast Quantitative research fast |
| topic_facet | Stata. Stata Quantitative research. Big data. Recherche quantitative. Données volumineuses. COMPUTERS Programming General. Big data Quantitative research |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1087968 |
| work_keys_str_mv | AT kothariprasad dataanalysiswithstataexplorethebigdatafieldandlearnhowtoperformdataanalyticsandpredictivemodelinginstata |