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The prediction of future observations can tell us at an early stage of testing how costly the testing is and whether actions should be taken to redesign the test. This paper deals with the Bayes interval prediction of the future ordered observations in a multiply type-II censored sample from an exponential distribution. The analysis will depend mainly on assumption that the sample size n is fixed as well as random variable. The Binomial and Poisson distributions are used for describing the random variable n. Numerical example is cited to illustrate the procedure and simulation study is carried out to study the performance of the process. [ABSTRACT FROM AUTHOR]

The paper provides a comprehensive review of methodology, classical as well as bootstrapped, for setting confidence intervals for the parameter p of negative binomial distribution. The results are illustrated by a numerical example. The authors have developed a computer program in Visual BASIC which computes confidence limits using the procedures described in this paper. [ABSTRACT FROM AUTHOR]

Taking the clue from the pioneer work of Tarray and Singh (2015) we have suggested a new stratified randomized response model. In this paper the problem of optimal allocation in stratified random sampling where randomized response technique is used in presence of non response. The problem is formulated as a Nonlinear Programming Problem (NLPP) and is solved using Branch and Bound method. Also the results are formulated through LINGO. [ABSTRACT FROM AUTHOR]

The p chart plays the important role in controlling the proportion of defective items produced. In recent years researchers in various quality control procedures consider the possibility of misclassification errors as an important issue. In the present paper, a method of obtaining the expression of the power of control chart for binomial distribution (proportion of defectives) is being studied by considering approximate expressions for calculating the probabilities of errors of misclassification due to measurement error. Formulae are derived for calculating probabilities of misclassification due to measurement error. The relationship between apparent fraction defective (A F D) and true fraction defective (TFD) has been used to study the power of control chart. [ABSTRACT FROM AUTHOR]

In this paper an attempt has been made to construct CSCC under inspection error for Binomial Parameters when underlying distribution is Poisson. We have investigated distance d and angle (j) along with ARL of CUSUM chart under inspection error. [ABSTRACT FROM AUTHOR]

In this paper, an attempt has been made to construct control charts for binomial distribution when the underlying distribution is ratio of two Poisson means. Shewhart chart control limits and ARL are obtained based on exact value of the confidence limit. [ABSTRACT FROM AUTHOR]

One of the difficulties students from basic courses often show in learning probability and statistics at the university is understanding how the continuous normal probability distribution approximates the discrete binomial probability distribution. In this paper a didactic proposal is presented consisting in two algorithms, very easy to use, developed with software R which is completely free. These algorithms aim to introduce students in basic concepts of normal approximation to the binomial distribution by means of graphical representations and tables. They allow an active participation of student in the learning process. [ABSTRACT FROM AUTHOR]