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A First Course in Probability Models and Statistical Inference

✍ Scribed by J. H. C. Creighton (auth.)


Publisher
Springer-Verlag New York
Year
1994
Tongue
English
Leaves
742
Series
Springer Texts in Statistics
Edition
1
Category
Library

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✦ Synopsis


Welcome to new territory: A course in probability models and statistical inference. The concept of probability is not new to you of course. You've encountered it since childhood in games of chance-card games, for example, or games with dice or coins. And you know about the "90% chance of rain" from weather reports. But once you get beyond simple expressions of probability into more subtle analysis, it's new territory. And very foreign territory it is. You must have encountered reports of statistical results in voter surΒ­ veys, opinion polls, and other such studies, but how are conclusions from those studies obtained? How can you interview just a few voters the day before an election and still determine fairly closely how HUNΒ­ DREDS of THOUSANDS of voters will vote? That's statistics. You'll find it very interesting during this first course to see how a properly designed statistical study can achieve so much knowledge from such drastically incomplete information. It really is possible-statistics works! But HOW does it work? By the end of this course you'll have understood that and much more. Welcome to the enchanted forest.

✦ Table of Contents


Front Matter....Pages i-xxxi
Introduction to Probability Models of the Real World....Pages 2-37
Understanding Observed Data....Pages 38-79
Discrete Probability Models....Pages 80-127
Continuous Probability Models....Pages 128-167
Estimation of Parameters....Pages 168-223
Introduction to Tests of Statistical Hypotheses....Pages 224-287
Introduction to Simple Linear Regression....Pages 288-325
Back Matter....Pages 326-719

✦ Subjects


Mathematics, general


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