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Statistical Distributions |
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M. Evans, N. Hastings, B. Peacock |
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This is a handy reference providing essential formulas for important
probability distributions. What is the moment generating function for
the exponential distribution? How do you calculate the kurtosis of a
lognormal distribution? If you square a normally distributed random
variable, what distribution describes the result? ...
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Probability and Statistics |
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Morris H. Degroot and Mark J. Schervish |
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This is a standard introduction to probability and
statistics. If you are new to probability or you can't remember what a probability
density function is, this is the perfect book for self study. DeGroot and Schervish
takes a non-measure-theoretic approach to probability. Topics include ...
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An Introduction to Copulas |
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Copulas are constructs
of probability theory that have attracted increased attention in the
past few decades. In only the past few years, financial professionals
have turned to them for modeling high-dimensional problems, such as
value-at-risk or portfolio credit risk ...
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Probability with Martingales |
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This is a popular
book for quantitative professionals who want to master measure-theoretic
probability before proceeding to stochastic calculus. A set of lecture notes
converted to book form, it is a minimalist treatment that emphasizes the study
of martingales. It is far shorter than
Billingsley (1995) or even Resnick (1999),
but is just as authoritative as those book ...
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A Probability Path |
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Many practitioners are familiar with elementary probability theory, but
need to learn stochastic calculus. Between these two topics, there is a
vast gulf of knowledge that needs to be filled in. The linchpin is a
measure-theoretic treatment of probability theory. Many texts ...
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Probability and Measure |
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There are plenty of
standard texts introducing measure-theoretic probability. Billingsley is
easily the most cited. Like many books, it assuming no prior knowledge
of measure theory, teaching it alongside probability theory ...
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