Comparing discrete distributions when the sample space is small
نویسندگان
چکیده
منابع مشابه
Comparing discrete distributions when the sample space is small Comparando las distribuciones discretas cuando
Para citar este artículo: Wilcox, R. R., Vigen, C., Clark, F., & Carlson, M. (2013). Comparing discrete distributions when the sample space is small. Universitas Psychologica, 12 (5), 1587-1599. doi:10.11144/Javeriana.UPSY12-5.cdds * University of Southern California. Dept of Psychology. E-mail: [email protected] ** University of Southern California. Occupational Science and Occupational Therapy ...
متن کاملLearning Balanced Mixtures of Discrete Distributions with Small Sample
We study the problem of partitioning a small sample of n individuals from a mixture of k product distributions over a Boolean cube {0, 1}K according to their distributions. Each distribution is described by a vector of allele frequencies in RK . Given two distributions, we use γ to denote the average l2 distance in frequencies across K dimensions, which measures the statistical divergence betwe...
متن کاملOn small-sample confidence intervals for parameters in discrete distributions.
The traditional definition of a confidence interval requires the coverage probability at any value of the parameter to be at least the nominal confidence level. In constructing such intervals for parameters in discrete distributions, less conservative behavior results from inverting a single two-sided test than inverting two separate one-sided tests of half the nominal level each. We illustrate...
متن کاملDiscrete Small Sample Asymptotics
(ABSTRACT) Random variables defined on the natural numbers may often be approximated by Poisson variables. Just as normal approximations may be improved by saddlepoint methods, Pois-son approximations may be substantially improved by tilting, expansion, and other related methods. This work will develop and examine the use of these methods, as well as present examples where such methods may be n...
متن کاملApproximating Probability Distributions Using Small Sample Spaces
We formulate the notion of a “good approximation” to a probability distribution over a finite abelian group G. The quality of the approximating distribution is characterized by a parameter ε which is a bound on the difference between corresponding Fourier coefficients of the two distributions. It is also required that the sample space of the approximating distribution be of size polynomial in l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Universitas Psychologica
سال: 2013
ISSN: 2011-2777,1657-9267
DOI: 10.11144/javeriana.upsy12-5.cdds