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  • 1
    Online Resource
    Online Resource
    Berlin ; Boston :De G Press,
    UID:
    almahu_BV045933227
    Format: 1 Online-Ressource (XII, 263 Seiten) : , Diagramme.
    ISBN: 978-1-5474-0135-2 , 978-1-5474-0137-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-5474-1746-9
    Language: English
    Subjects: Computer Science , Economics , Mathematics
    RVK:
    RVK:
    RVK:
    Keywords: Wirtschaftsstatistik ; R ; Wirtschaftsstatistik ; Ökonometrie ; R
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    Author information: Akinkunmi, Mustapha A.
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Berlin ; : De Gruyter,
    UID:
    edocfu_9959156276802883
    Format: 1 online resource (XII, 264 p.)
    ISBN: 9781547401352
    Content: Business Statistics with Solutions in R covers a wide range of applications of statistics in solving business related problems. It will introduce readers to quantitative tools that are necessary for daily business needs and help them to make evidence-based decisions. The book provides an insight on how to summarize data, analyze it, and draw meaningful inferences that can be used to improve decisions. It will enable readers to develop computational skills and problem-solving competence using the open source language, R. Mustapha Abiodun Akinkunmi uses real life business data for illustrative examples while discussing the basic statistical measures, probability, regression analysis, significance testing, correlation, the Poisson distribution, process control for manufacturing, time series analysis, forecasting techniques, exponential smoothing, univariate and multivariate analysis including ANOVA and MANOVA and more in this valuable reference for policy makers, professionals, academics and individuals interested in the areas of business statistics, applied statistics, statistical computing, finance, management and econometrics.
    Note: Frontmatter -- , Contents -- , 1. Introduction to Statistical Analysis -- , 2. Introduction to R Software -- , 3. Descriptive Statistics -- , 4. Basic Probability Concepts -- , 5. Discrete Probability Distributions -- , 6. Continuous Probability Distributions -- , 7. Other Continuous Probability Distributions -- , 8. Sampling and Sampling Distribution -- , 9. Confidence Intervals for Single Population Mean and Proportion -- , 10. Hypothesis Testing for Single Population Mean and Proportion -- , 11. Regression Analysis and Correlation Analysis -- , 12. Poisson Distribution -- , 13. Uniform Distributions -- , 14. Time Series Analysis -- , APPENDIX -- , Index , In English.
    Additional Edition: ISBN 9781547401376
    Additional Edition: ISBN 9781547417469
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Berlin ; : De Gruyter,
    UID:
    edocfu_9959660934402883
    Format: 1 online resource (xii, 263 pages) : , illustrations
    ISBN: 1-5474-0137-0 , 1-5474-0135-4
    Content: Business Statistics with Solutions in R covers a wide range of applications of statistics in solving business related problems. It will introduce readers to quantitative tools that are necessary for daily business needs and help them to make evidence-based decisions. The book provides an insight on how to summarize data, analyze it, and draw meaningful inferences that can be used to improve decisions. It will enable readers to develop computational skills and problem-solving competence using the open source language, R. Mustapha Abiodun Akinkunmi uses real life business data for illustrative examples while discussing the basic statistical measures, probability, regression analysis, significance testing, correlation, the Poisson distribution, process control for manufacturing, time series analysis, forecasting techniques, exponential smoothing, univariate and multivariate analysis including ANOVA and MANOVA and more in this valuable reference for policy makers, professionals, academics and individuals interested in the areas of business statistics, applied statistics, statistical computing, finance, management and econometrics.
    Note: Includes index. , Frontmatter -- , Contents -- , 1. Introduction to Statistical Analysis -- , 2. Introduction to R Software -- , 3. Descriptive Statistics -- , 4. Basic Probability Concepts -- , 5. Discrete Probability Distributions -- , 6. Continuous Probability Distributions -- , 7. Other Continuous Probability Distributions -- , 8. Sampling and Sampling Distribution -- , 9. Confidence Intervals for Single Population Mean and Proportion -- , 10. Hypothesis Testing for Single Population Mean and Proportion -- , 11. Regression Analysis and Correlation Analysis -- , 12. Poisson Distribution -- , 13. Uniform Distributions -- , 14. Time Series Analysis -- , APPENDIX -- , Index , In English.
    Additional Edition: ISBN 1-5474-1746-3
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Online Resource
    Online Resource
    Berlin ; : De Gruyter,
    UID:
    almafu_9959156276802883
    Format: 1 online resource (XII, 264 p.)
    ISBN: 9781547401352
    Content: Business Statistics with Solutions in R covers a wide range of applications of statistics in solving business related problems. It will introduce readers to quantitative tools that are necessary for daily business needs and help them to make evidence-based decisions. The book provides an insight on how to summarize data, analyze it, and draw meaningful inferences that can be used to improve decisions. It will enable readers to develop computational skills and problem-solving competence using the open source language, R. Mustapha Abiodun Akinkunmi uses real life business data for illustrative examples while discussing the basic statistical measures, probability, regression analysis, significance testing, correlation, the Poisson distribution, process control for manufacturing, time series analysis, forecasting techniques, exponential smoothing, univariate and multivariate analysis including ANOVA and MANOVA and more in this valuable reference for policy makers, professionals, academics and individuals interested in the areas of business statistics, applied statistics, statistical computing, finance, management and econometrics.
    Note: Frontmatter -- , Contents -- , 1. Introduction to Statistical Analysis -- , 2. Introduction to R Software -- , 3. Descriptive Statistics -- , 4. Basic Probability Concepts -- , 5. Discrete Probability Distributions -- , 6. Continuous Probability Distributions -- , 7. Other Continuous Probability Distributions -- , 8. Sampling and Sampling Distribution -- , 9. Confidence Intervals for Single Population Mean and Proportion -- , 10. Hypothesis Testing for Single Population Mean and Proportion -- , 11. Regression Analysis and Correlation Analysis -- , 12. Poisson Distribution -- , 13. Uniform Distributions -- , 14. Time Series Analysis -- , APPENDIX -- , Index , In English.
    Additional Edition: ISBN 9781547401376
    Additional Edition: ISBN 9781547417469
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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