Gambling Models
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Gambling Mod Skyrim
Dynamic programming is used to solve some simple gambling models. In particular we consider the situation where an individual may bet any integral amount not greater than his fortune and he will win this amount with probability p or lose it with probability 1-p. It is shown that if p≥ 1/2 then the timid strategy (always bet one dollar) both maximizes the probability of ever reaching any preassigned fortune, and also stochastically maximizes the time until the bettor becomes broke. Also, if $p<{textstylefrac{1}{2}}$ then the timid strategy while not stochastically maximizing the playing time does maximize the expected playing time. We also consider the same model but with the additional structure that the bettor need not gamble but may instead elect to work for some period of time. His goal is to minimize the expected time until his fortune reaches some preassigned goal. We show that if $p<{textstylefrac{1}{2}}$ then (i) always working is optimal, and (ii) among those strategies that only allow working when the bettor is broke it is the bold strategy that is optimal
Journal of Applied Probability and Advances in Applied Probability have for four decades provided a forum for original research and reviews in applied probability, mapping the development of probability theory and its applications to physical, biological, medical, social and technological problems. Their wide readership includes leading researchers in the many fields in which stochastic models are used, including operations research, telecommunications, computer engineering, epidemiology, financial mathematics, information systems and traffic management. Advances includes a section dedicated to stochastic geometry and its statistical applications.
The Applied Probability Trust is a non-profit publishing foundation established in 1964 to promote study and research in the mathematical sciences. Its titles Journal of Applied Probability and Advances in Applied Probability were the first in the subject. The regular publications of the Trust also include The Mathematical Scientist, and the student mathematical magazine Mathematical Spectrum. The Trust publishes occasional special volumes on applied probability and related subjects.
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Advances in Applied Probability © 1974 Applied Probability Trust
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Gambling System
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Gambling Mod Sims 4
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Dynamic programming is used to solve some simple gambling models. In particular we consider the situation where an individual may bet any integral amount not greater than his fortune and he will win this amount with probability p or lose it with probability 1-p. It is shown that if p≥ 1/2 then the timid strategy (always bet one dollar) both maximizes the probability of ever reaching any preassigned fortune, and also stochastically maximizes the time until the bettor becomes broke. Also, if $p<{textstylefrac{1}{2}}$ then the timid strategy while not stochastically maximizing the playing time does maximize the expected playing time. We also consider the same model but with the additional structure that the bettor need not gamble but may instead elect to work for some period of time. His goal is to minimize the expected time until his fortune reaches some preassigned goal. We show that if $p<{textstylefrac{1}{2}}$ then (i) always working is optimal, and (ii) among those strategies that only allow working when the bettor is broke it is the bold strategy that is optimal
Gambling Stocks
Journal of Applied Probability and Advances in Applied Probability have for four decades provided a forum for original research and reviews in applied probability, mapping the development of probability theory and its applications to physical, biological, medical, social and technological problems. Their wide readership includes leading researchers in the many fields in which stochastic models are used, including operations research, telecommunications, computer engineering, epidemiology, financial mathematics, information systems and traffic management. Advances includes a section dedicated to stochastic geometry and its statistical applications.
Gambling Slot
The Applied Probability Trust is a non-profit publishing foundation established in 1964 to promote study and research in the mathematical sciences. Its titles Journal of Applied Probability and Advances in Applied Probability were the first in the subject. The regular publications of the Trust also include The Mathematical Scientist, and the student mathematical magazine Mathematical Spectrum. The Trust publishes occasional special volumes on applied probability and related subjects.
Gambling School
This item is part of a JSTOR Collection.
For terms and use, please refer to our Terms and Conditions
Advances in Applied Probability © 1974 Applied Probability Trust
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