Statistics with JMP: graphs, descriptive statistics, and probability
Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Economics, BelgiumDavid Meintrup, Department of Mathematics and Statistics, University of Applied Sciences Ingolstadt, Faculty of Mechanical Engineering, Germa...
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| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Chichester, West Sussex
Wiley
2015
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| Subjects: | |
| Online Access: | FUBA1 Volltext |
| Summary: | Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Economics, BelgiumDavid Meintrup, Department of Mathematics and Statistics, University of Applied Sciences Ingolstadt, Faculty of Mechanical Engineering, GermanyThorough presentation of introductory statistics and probability theory, with numerous examples and applications using JMPJMP: Graphs, Descriptive Statistics and Probability provides an accessible and thorough overview of the most important descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. The authors distinguish their approach from many modern textbooks on descriptive statistics and probability theory by offering a combination of theoretical and mathematical depth, and clear and detailed explanations of concepts. Throughout the book, the user-friendly, interactive statistical software package JMP is used for calculations, the computation of probabilities and the creation of figures. The examples are explained in detail, and accompanied by step-by-step instructions and screenshots. The reader will therefore develop an understanding of both the statistical theory and its applications.Traditional graphs such as needle charts, histograms and pie charts are included, as well as the more modern mosaic plots, bubble plots and heat maps. The authors discuss probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions, and the exponential, normal and lognormal densities. They use numerous examples throughout to illustrate these distributions and densities.Key features: Introduces each concept with practical examples and demonstrations in JMP. Provides the statistical theory including detailed |
| Item Description: | Description based on publisher supplied metadata and other sources |
| Physical Description: | 1 Online-Ressource (368 Seiten) Illustrationen |
| ISBN: | 9781119035749 |
Staff View
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| 520 | |a Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Economics, BelgiumDavid Meintrup, Department of Mathematics and Statistics, University of Applied Sciences Ingolstadt, Faculty of Mechanical Engineering, GermanyThorough presentation of introductory statistics and probability theory, with numerous examples and applications using JMPJMP: Graphs, Descriptive Statistics and Probability provides an accessible and thorough overview of the most important descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. The authors distinguish their approach from many modern textbooks on descriptive statistics and probability theory by offering a combination of theoretical and mathematical depth, and clear and detailed explanations of concepts. Throughout the book, the user-friendly, interactive statistical software package JMP is used for calculations, the computation of probabilities and the creation of figures. The examples are explained in detail, and accompanied by step-by-step instructions and screenshots. The reader will therefore develop an understanding of both the statistical theory and its applications.Traditional graphs such as needle charts, histograms and pie charts are included, as well as the more modern mosaic plots, bubble plots and heat maps. The authors discuss probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions, and the exponential, normal and lognormal densities. They use numerous examples throughout to illustrate these distributions and densities.Key features: Introduces each concept with practical examples and demonstrations in JMP. Provides the statistical theory including detailed | ||
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| spelling | Goos, Peter Verfasser (DE-588)171879465 aut Statistics with JMP graphs, descriptive statistics, and probability Peter Goos (University of Leuven and University of Antwerp, Belgium), David Meintrup (University of Applied Sciences Ingoldstadt, Germany) Chichester, West Sussex Wiley 2015 1 Online-Ressource (368 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Economics, BelgiumDavid Meintrup, Department of Mathematics and Statistics, University of Applied Sciences Ingolstadt, Faculty of Mechanical Engineering, GermanyThorough presentation of introductory statistics and probability theory, with numerous examples and applications using JMPJMP: Graphs, Descriptive Statistics and Probability provides an accessible and thorough overview of the most important descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. The authors distinguish their approach from many modern textbooks on descriptive statistics and probability theory by offering a combination of theoretical and mathematical depth, and clear and detailed explanations of concepts. Throughout the book, the user-friendly, interactive statistical software package JMP is used for calculations, the computation of probabilities and the creation of figures. The examples are explained in detail, and accompanied by step-by-step instructions and screenshots. The reader will therefore develop an understanding of both the statistical theory and its applications.Traditional graphs such as needle charts, histograms and pie charts are included, as well as the more modern mosaic plots, bubble plots and heat maps. The authors discuss probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions, and the exponential, normal and lognormal densities. They use numerous examples throughout to illustrate these distributions and densities.Key features: Introduces each concept with practical examples and demonstrations in JMP. Provides the statistical theory including detailed Datenverarbeitung JMP (Computer file) Probabilities -- Data processing Deskriptive Statistik (DE-588)4070313-7 gnd rswk-swf JMP (DE-588)4812971-9 gnd rswk-swf JMP (DE-588)4812971-9 s Deskriptive Statistik (DE-588)4070313-7 s 1\p DE-604 Meintrup, David Verfasser aut Erscheint auch als Druck-Ausgabe Goos, Peter Statistics with JMP : Graphs, Descriptive Statistics and Probability http://wiley-vch.e-bookshelf.de/statistics-with-jmp-3223534.html?lang=dt Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Goos, Peter Meintrup, David Statistics with JMP graphs, descriptive statistics, and probability Datenverarbeitung JMP (Computer file) Probabilities -- Data processing Deskriptive Statistik (DE-588)4070313-7 gnd JMP (DE-588)4812971-9 gnd |
| subject_GND | (DE-588)4070313-7 (DE-588)4812971-9 |
| title | Statistics with JMP graphs, descriptive statistics, and probability |
| title_auth | Statistics with JMP graphs, descriptive statistics, and probability |
| title_exact_search | Statistics with JMP graphs, descriptive statistics, and probability |
| title_full | Statistics with JMP graphs, descriptive statistics, and probability Peter Goos (University of Leuven and University of Antwerp, Belgium), David Meintrup (University of Applied Sciences Ingoldstadt, Germany) |
| title_fullStr | Statistics with JMP graphs, descriptive statistics, and probability Peter Goos (University of Leuven and University of Antwerp, Belgium), David Meintrup (University of Applied Sciences Ingoldstadt, Germany) |
| title_full_unstemmed | Statistics with JMP graphs, descriptive statistics, and probability Peter Goos (University of Leuven and University of Antwerp, Belgium), David Meintrup (University of Applied Sciences Ingoldstadt, Germany) |
| title_short | Statistics with JMP |
| title_sort | statistics with jmp graphs descriptive statistics and probability |
| title_sub | graphs, descriptive statistics, and probability |
| topic | Datenverarbeitung JMP (Computer file) Probabilities -- Data processing Deskriptive Statistik (DE-588)4070313-7 gnd JMP (DE-588)4812971-9 gnd |
| topic_facet | Datenverarbeitung JMP (Computer file) Probabilities -- Data processing Deskriptive Statistik JMP |
| url | http://wiley-vch.e-bookshelf.de/statistics-with-jmp-3223534.html?lang=dt |
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