Book
Verilog Digital System Design
This inexpensive paperback provides a brief, simple overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different statistical technique, ranging from basic concepts like central tendency and describing distributions to more advanced concepts such as t tests, regression, repeated measures ANOVA, and factor analysis. Each chapter begins with a short description of the statistic and when it should be used. This is followed by a more in-depth explanation of how the statistic works. Finally, each chapter ends with an example of the statistic in use, and a sample of how the results of analyses using the statistic might be written up for publication. A glossary of statistical terms and symbols is also included.
დამატებითი ინფორმაცია
- ფიზიკური აღწერილობა: 453 p.
- გამომცემლობა: N . Y. McGraw-Hill Professional Publishing 1999
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| მდებარეობა | ინვენტარის ნომერი / ასლის შენიშვნები | შტრიხკოდი | თაროზე განთავსების ადგილი | სტატუსი | დასაბრუნებელია |
|---|---|---|---|---|---|
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| 245 | 1 | 0. | ‡aVerilog Digital System Design |
| 260 | . | ‡aN . Y. | |
| 260 | . | ‡bMcGraw-Hill Professional Publishing | |
| 260 | . | ‡c1999 | |
| 300 | . | ‡a453 p. | |
| 520 | . | ‡aThis inexpensive paperback provides a brief, simple overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different statistical technique, ranging from basic concepts like central tendency and describing distributions to more advanced concepts such as t tests, regression, repeated measures ANOVA, and factor analysis. Each chapter begins with a short description of the statistic and when it should be used. This is followed by a more in-depth explanation of how the statistic works. Finally, each chapter ends with an example of the statistic in use, and a sample of how the results of analyses using the statistic might be written up for publication. A glossary of statistical terms and symbols is also included. | |
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