Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...
A study is made of the simple empirical Bayes estimators proposed by Robbins (1956). These estimators are compared with `best' conventional estimators in terms of ...
Berkowitz (2001) suggested a powerful and popular density test based on a probability integral transformation. For the probability integral transformation to work properly the original distribution ...
where \(\mathsf{G}(\cdot)\) is some convex operator and \(\mathcal{F}\) is as set of feasible input distributions. Examples of such an optimization problem include finding capacity in information ...
A new discrete distribution arising from a Poisson distribution when the prior distribution of the parameter involved in uniform, has been obtained and its application in an accident proneness model ...
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