On robust estimation of the location parameter

In his seminal book, Shewhart (1931) makes no demand on the distribution of the characteristic to be plotted on a control chart. How then can we explain the idea that normality is, if not required, at least highly desirable? I believe that it has come about through the many statistical studies of control-chart behavior. If one is to study how a control chart behaves, it is necessary to relate it to some distribution. The obvious choice is the normal distribution because of its ubiquity as a satisfactory model. This is bolstered by the existence of the Central Limit Theorem.

Sampling: Design and Analysis

Introduction to Variance Estimation (2nd ed.)

Median Ranked Set Sampling におけるカーネル密度推定

Coordination of Samples Using Permanent Random Numbers

Generalized exponential chain ratio estimators under stratified two-phase random sampling

Statistical process control (SPC) provides tools to monitor the production process in order to avoid losses of the producer. Literature provides many control charts to monitor moderate and ...

A new Max-HEWMA control chart using auxiliary information

En este articulo, de tipo exponencial generalizado ha sido propuesto con el fin de estimar la varianza poblacional a traves de una variables auxiliar en muestreo en dos fases. Algunos casos especiales del estimador medio y el sesgo del estimador generalizado propuesto son derivados. El estimador es comprado teoricamente con otros disponibles en la literatura y las condiciones bajos los cuales este es mejor. Un estudio empirico es llevado a cabo para comprar la eficiencia de los estimadores propuestos.

/pdf/generalized-exponential-type-estimator-for-population-109qhhw03b.pdf

Generalized Exponential Type Estimator for Population Variance in Survey Sampling

Poisson, modified poisson and collocated sampling

Design principles for image encryption schemes abound in the literature. Among these schemes, few were built upon the philosophy of swapping of the pixels in the given input image. Swapping is a very straightforward and a naive approach for image scrambling. We believe that fuller potential of swapping has not been realized yet. In this work, a novel image encryption scheme is being presented through the swapping of pixel values of the given gray scale input image. The 5D multi-wing hyperchaotic system rendering five key streams of random numbers have been used in the proposed cipher. After the gray scale image is input, its pixels are swapped randomly. The random numbers given through the first two key streams jointly determine the address of the first pixel to be swapped with the second pixel whose address is determined by the random numbers given through the third and fourth key streams. In this way, the pixels of the given image are swapped abundantly. The selection of both the pixels for swapping is purely arbitrary and random in character having no restriction of linearity and sequentiality as was done by other schemes previously. To create the diffusion effects, an XOR operation is carried out between this scrambled image and the key image formed through the fifth stream of random numbers given by the chaotic system. SHA-384 hash codes have been used in the proposed scheme to embed the plaintext sensitivity. The simulation and the extensive security analyses carried out at the end expressly portray the good security effects and the potential for the real world application of the reported scheme.

Muhammad Hanif

Papers

Generalized exponential chain ratio estimators under stratified two-phase random sampling

A new Max-HEWMA control chart using auxiliary information

Generalized Exponential Type Estimator for Population Variance in Survey Sampling

Poisson, modified poisson and collocated sampling

A novel gray scale image encryption scheme based on pixels’ swapping operations