This textbook provides an introduction to statistics for computer users or computer science undergraduates. The main emphasis here is on how to use the computer to understand statistics and to facilitate statistical computation. Since the Stress is on the basic concepts, the mathematics is kept as simple as possible. Programming exercises are included in every chapter which can be run on any present-day microcomputer. This book provides a prerequisite for more complicated statistical procedures or individual special applications.
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Inside This Book
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First Sentence:
One of the important purposes of gaining knowledge is to solve problems. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
inserted errors, jackknife technique, estimated bias, random variates, permutation test, bootstrap technique, bootstrap estimate Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Coke Classic New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
One of the important purposes of gaining knowledge is to solve problems. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
inserted errors, jackknife technique, estimated bias, random variates, permutation test, bootstrap technique, bootstrap estimate Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Coke Classic New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 10
books:
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13
books
cite this book:
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- Computational Studies of the Most Frequent Chinese Words and Sounds (World Scientific Series in Computer Science) by Ching Y. Suen in Front Matter
- Information Control Problems in Manufacturing Automation (World Scientific Series in Computer Science, Volume 5) by L. Nemes in Front Matter
- Robust Statistical Procedures (CBMS-NSF Regional Conference Series in Applied Mathematics) by Peter J. Huber in Back Matter
- Mathematical Statistics with Applications (Mathematical Statistics (W/ Applications)) by Dennis Wackerly in Back Matter
- Simulation and the Monte Carlo Method (Wiley Series in Probability and Statistics) by Reuven Y. Rubinstein in Back Matter
See all 10 books this book cites
- A Practical Guide to Heavy Tails: Statistical Techniques and Applications by Robert Adler on page 310
- Information, Randomness And Incompleteness: Papers On Algorithmic Information Theory (World Scientific Series in Computer Science) by Gregory J Chaitin in Front Matter
- P-Prolog: A Parallel Logic Programming Language (World Scientific Series in Computer Science) by Rong Yang in Front Matter
- Computer-Aided Specification Techniques (Computer Science) by J Demetrovics in Front Matter
- Structural Pattern Analysis (Series in Computer Science) by Roger Mohr in Front Matter
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