The revision of this well-respected text presents a balance of the classical and Bayesian methods. The theoretical and practical sides of both probability and statistics are considered. New content areas include the Vorel- Kolmogorov Paradox, Confidence Bands for the Regression Line, the Correction for Continuity, and the Delta Method.
we will use set theory for the mathematical model of events.outcomes of an experiment are elements of some sample space S,and each event is a subset of S.two events both occur if the outcome is in the intersection of two sets.at least one of a collection of events occurs if the outcome is the union of the sets.two events can not both occur if the sets are disjoint.an event fails to occur if the outcome is the complement of the set.the empty set stands for every event that cannot possibly occur.the collection of events is assumed to contain the sample space,the complement of each event,and the union of each countable collection of events. (查看原文)
a box contains 100 balls,of which r are red.suppose that the balls are drawn from the box one at a time,at random,without replacement.determine(a) the probability that the first ball drawn will be red;(b)the probability that the 50th ball drawn will be red;(c)the prbability that the last ball drawn will be red. (查看原文)
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Pearson2011版
豆友27769025
Pearson2011版
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Addison Wesley2001版
还没人写过短评呢
还没人写过短评呢