Naming practices offer a window onto linguistic processes of productivity that rely on input from interacting streams of information. Previous studies have looked at proper personal names and binomial combinations of proper personal names to show that phonological features such as rhythm, semantic features such as gender, and corpus features such as word frequency play an important role in nami...

This article focuses on the estimation of population proportion when the study variable is sensitive in nature. Two implicit randomized response techniques are proposed where the unrelated trait can be chosen subjectively. In addition to unbiased estimation of population proportion and variance, an empirical study is conducted to inspect the relative efficiency facet of the proposed techniques....

The most applied statistical methods for monitoring multivariate attribute processes have been developed assuming that they have a multinomial distribution, see e.g. Marcucci (1985) and Cassady and Nachlas (2006). However this assumption is not always reasonable; indeed, it is more general and correct to suppose that in each item it is possible to identify one or more of k ordered and not mutua...

Abstract The Levinson–Durbin recursion is used to construct the coefficients which define the minimum mean square error predictor of a new observation for a discrete time, second-order stationary stochastic process. As the sample size varies, the coefficients determine what is called a Levinson–Durbin sequence. A generalized Levinson– Durbin sequence is also defined, and we note that binomial c...

Markov decision processes (MDPs) have found success in many application areas that involve sequential making under uncertainty, including the evaluation and design of treatment screening protocols for medical making. However, data used to parameterize model can influence what policies are recommended, multiple competing sources common areas, medicine. In this article, we introduce Multi-model p...

the probability density functions fitting to the discrete probability functions has always been needed, and very important. this paper is fitting the continuous curves which are probability density functions to the binomial probability functions, negative binomial geometrics, poisson and hypergeometric. the main key in these fittings is the use of the derivative concept and common differential ...

A number of alternative data-generating processes are explored for mail-order demands for seasonal style-goods. Weekly demands for 126 items over an 18-week selling season provide the empirical data. Arguments are presented which result in the following candidates for data-generating processes: (1) ratios of successive forecasts are distributed lognormally; (2) ratios of successive forecasts ar...