Titlebook: Statistics and its Applications; Platinum Jubilee Con Asis Kumar Chattopadhyay,Gaurangadeb Chattopadhyay Conference proceedings 2018 Spring

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书目名称Statistics and its Applications被引频次学科排名




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nocturia

Detecting a Fake Coin of a Known Type,rfeit coin (or declare that all coins are genuine) using the fewest weighings on average. We find a formula for the smallest expected number of weighings, and another formula which determines an optimal number of coins to place on each pan during the first (and hence during each successive) weighing.

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Conference proceedings 2018d the globe to mark the platinum jubilee of the Department of Statistics, University of Calcutta in 2016, the book is a valuable resource for statisticians, aspiring researchers and professionals across educational levels and disciplines..

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Regressions Involving Circular Variables: An Overview,minated throughout the literature. In this paper, we provide a review of the literature on regressions involving circular variables that will be useful as a unified and up-to-date account of these methods for practical use. Examples and theoretical details are referred to corresponding papers herein

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On Construction of Prediction Interval for Weibull Distribution,istribution. The method is based on a proposed simple pivotal statistic, assuming that the Weibull shape parameter is known. A simulation study is carried out by MATLAB, R 2012a. A simulation based comparison reveals that the proposed PI has smallest expected lengths for smaller shape parameter and

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assail

The Quantile-Based Skew Logistic Distribution with Applications,troduced by Gilchrist (Statistical modelling with quantile functions. CRC Press, .) has been studied. Some classical and quantile based properties of the distribution have been obtained. L-moments and L-ratios of the distribution have been obtained in closed form. The nature of L-Skewness and L-kurt

AIL

A New Approximation to the True Randomization-Based Design Effect,complex sample design. A model that captures different salient features of the sample design is often used to approximate the randomization-based true design effect. Our simulation results show that the usual model-based design effect for the sample mean could significantly differ from the randomiza