Stochastic Processes, Other
http://www.maa.org/taxonomy/term/40522/0
enThe Undying Novena
http://www.maa.org/programs/faculty-and-departments/classroom-capsules-and-notes/the-undying-novena
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><em>This article models the life of a chain letter as a branching process.</em></p>
</div></div></div>Binomial Distribution 1: Mean and Variance of Bernoulli Distribution Example:Video
http://www.maa.org/programs/faculty-and-departments/course-communities/binomial-distribution-1-mean-and-variance-of-bernoulli-distribution-examplevideo
Bernoulli Trials: Introduction
http://www.maa.org/programs/faculty-and-departments/course-communities/bernoulli-trials-introduction
Coin Tossing: Introduction
http://www.maa.org/programs/faculty-and-departments/course-communities/coin-tossing-introduction
Binomial Distribution Utility (for Bernoulli Trials): Interactive Resource
http://www.maa.org/programs/faculty-and-departments/course-communities/binomial-distribution-utility-for-bernoulli-trials-interactive-resource
Binomial Distribution 2: More on the Binomial Distribution:Video
http://www.maa.org/programs/faculty-and-departments/course-communities/binomial-distribution-2-more-on-the-binomial-distributionvideo
Binomial Distribution 3: Basketball Binomial Distribution: Video
http://www.maa.org/programs/faculty-and-departments/course-communities/binomial-distribution-3-basketball-binomial-distribution-video
The Undying Novena
http://www.maa.org/programs/faculty-and-departments/course-communities/the-undying-novena
The Disadvantage of Too Much Success.
http://www.maa.org/programs/faculty-and-departments/classroom-capsules-and-notes/the-disadvantage-of-too-much-success
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><em>The authors consider three cointossing models in which “too much success” is defined by the occurrence of success runs of a certain length which causes play to stop. The objective is to choose the success probability so as to maximise the expected reward before the stopping time applies.</em></p>
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