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Probability, Statistics, and Data:A Fresh Approach Using R
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Overview of Probability, Statistics, and Data:A Fresh Approach Using R Book
| Title | Probability, Statistics, and Data:A Fresh Approach Using R |
| Author | Darrin Speegle |
| ISBN-13 | 9781041038658 |
| Publication | CRC TBH |
This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized, quantified using simulations, and demonstrated with real data. The book compares parametric and non-parametric methods through simulation, allowing for a thorough investigation of testing error and power. The text builds R skills from the outset, allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques.
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Overview of Probability, Statistics, and Data:A Fresh Approach Using R Book
This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized, quantified using simulations, and demonstrated with real data. The book compares parametric and non-parametric methods through simulation, allowing for a thorough investigation of testing error and power. The text builds R skills from the outset, allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques.
Book Type :
Books
Book Binding :
Not Available
Language :
English
No. of Pages :
512 Pages
ISBN - 10 :
1041038658
ISBN - 13 :
9781041038658
Probability, Statistics, and Data:A Fresh Approach Using R Published On :
9 January 2025
Publisher :
Taylor & Francis
Edition :
Not Available
About Darrin Speegle:
Darrin Speegle is the author of Probability, Statistics, and Data:A Fresh Approach Using R.
Disclaimer:
- Probability, Statistics, and Data:A Fresh Approach Using R book is not for reading online or for free download in PDF or eBook format.
- Table of Contents, Index, Syllabus, summary and image of Probability, Statistics, and Data:A Fresh Approach Using R may be of a different edition or of the same title.
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Overview of Probability, Statistics, and Data:A Fresh Approach Using R Book
| Title | Probability, Statistics, and Data:A Fresh Approach Using R |
| Author | Darrin Speegle |
| ISBN-13 | 9781041038658 |
| Publication | CRC TBH |
This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized, quantified using simulations, and demonstrated with real data. The book compares parametric and non-parametric methods through simulation, allowing for a thorough investigation of testing error and power. The text builds R skills from the outset, allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques.