minutia 发表于 2025-3-21 16:57:45
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Normal Linear Regression,hich we shall deal, not only is the distribution of the random variable normal, with mean given by a linear function of the other, predictor variables, but the precision of that normal distribution is taken to be constant, and in particular is not dependent on the values of the predictors.incision 发表于 2025-3-22 05:29:53
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Some Fundamentals of Probability,view and reinforcement of important concepts and tools for readers who have studied probability and statistics at the level of an introductory college course that makes use of the calculus. Topics are chosen with the very specific purpose of introducing the tools and methods that will be encounteredseduce 发表于 2025-3-22 14:33:39
Bernoulli Processes,teristic of a Bernoulli process is that the probability of each of the two mutually exclusive and exhaustive outcomes, say . and — . (not .), is constant from trial to trial. In particular, these probabilities, . and 1 — ., do not depend on how many trials have taken place, the outcomes of other triPruritus 发表于 2025-3-22 19:26:15
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Normal Data-Generating Processes,plications. The reason for the omnipresence of the normal process lies mostly in the Central Limit Theorem, a very important and powerful theorem of statistics which states that in the limit, as . becomes large, the mean value of a set of . independent realizations from . probability distribution wiIge326 发表于 2025-3-23 03:39:14
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