THE CUMULATIVE DISTRIBUTION CURVE FOR DRAINAGE AREAS
نویسندگان
چکیده
منابع مشابه
Efficient Estimation of the Density and Cumulative Distribution Function of the Generalized Rayleigh Distribution
The uniformly minimum variance unbiased (UMVU), maximum likelihood, percentile (PC), least squares (LS) and weighted least squares (WLS) estimators of the probability density function (pdf) and cumulative distribution function are derived for the generalized Rayleigh distribution. This model can be used quite effectively in modelling strength data and also modeling general lifetime data. It has...
متن کاملMixed Cumulative Distribution Networks
Directed acyclic graphs (DAGs) are a popular framework to express multivariate probability distributions. Acyclic directed mixed graphs (ADMGs) are generalizations of DAGs that can succinctly capture much richer sets of conditional independencies, and are especially useful in modeling the effects of latent variables implicitly. Unfortunately, there are currently no parameterizations of general ...
متن کاملCumulative distribution networks: Inference, estimation and applications of graphical models for cumulative distribution functions
Cumulative distribution networks: Inference, estimation and applications of graphical models for cumulative distribution functions Jim C. Huang Doctor of Philosophy Graduate Department of Electrical and Computer Engineering University of Toronto 2009 This thesis presents a class of graphical models for directly representing the joint cumulative distribution function (CDF) of many random variabl...
متن کاملThe "pure-study" learning curve: the learning curve without cumulative testing.
The customary assumption in the study of human learning using alternating study and test trials is that learning occurs during study trials and that test trials are useful only to measure learning. In fact, tests seem to play little role in the development of learning, because the learning curve is similar even when the number of test trials varies widely (Tulving, Journal of verbal learning an...
متن کاملImprecise Functional Estimation: The Cumulative Distribution Case
In this paper, we propose an adaptation of the Parzen Rosenblatt cumulative distribution function estimator that uses maxitive kernels. The result of this estimator, on every point of the domain of F , the cumulative distribution to be estimated, is interval valued instead of punctual valued. We prove the consistency of our approach with the classical Parzen Rosenblatt estimator, since, accordi...
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: Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)
سال: 2011
ISSN: 2185-467X
DOI: 10.2208/jscejhe.67.i_649