The exponential distribution is one of the most significant and widely used distribution in
statistical practice. It possesses several important statistical properties, and yet exhibits great …

Several stopping times which arise from problems of sequential estimation may be written in
the form where Sn, n≥ 1, are the partial sums of iid positive random variables, is a …

Interactively Run Simulations and Experiment with Real or Simulated Data to Make
Sequential Analysis Come AliveTaking an accessible, nonmathematical approach to this …

We describe the asymptotic theory of triple sampling as it pertains to the estimation of a
mean. We obtain limit theorems for the case of the normal distribution. Our results show that …

Two problems have been discussed in this paper. First, for independent and identically
distributed random variables with unknown mean and unknown variance, a sequential …

The material presented in this manuscript was developed for different applications and
published in many papers which are listed among the references. My colleagues …

The literature on sequential estimation problems for negative exponential populations has
been reviewed here, We attempt to bring in all the published and unpublished materials …

The sample mean is among the most well studied estimators in statistics, having many
desirable properties such as unbiasedness and consistency. However, when analyzing data …

Given $ X_1, X_2,\cdots $, iid with mean $\mu $ and variance $\sigma^ 2$, suppose that at
stage $ n $ one wishes to estimate $\mu $ by the sample mean $\bar {X} _n $, subject to the …

In this chapter, the authors find extensive coverage of various types of estimation problems.
Recently, Mukhopadhyay and Sen suggested implementing the larger experiment via …