Archive:: American Journal of Theoretical and Applied Statistics:: Science Publishing Group

Volume 5, Issue 1, January 2016

Comparison of Convenience Sampling and Purposive Sampling

Ilker Etikan, Sulaiman Abubakar Musa, Rukayya Sunusi Alkassim

Issue: Volume 5, Issue 1, January 2016

Pages: 1-4

Received: 23 November 2015

Accepted: 6 December 2015

Published: 22 December 2015

DOI: 10.11648/j.ajtas.20160501.11

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Abstract: This article studied and compared the two nonprobability sampling techniques namely, Convenience Sampling and Purposive Sampling. Convenience Sampling and Purposive Sampling are Nonprobability Sampling Techniques that a researcher uses to choose a sample of subjects/units from a population. Although, Nonprobability sampling has a lot of limitations... Show More

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A Brief Review of Tests for Normality

Keya Rani Das, A. H. M. Rahmatullah Imon

Issue: Volume 5, Issue 1, January 2016

Pages: 5-12

Received: 24 December 2015

Accepted: 5 January 2016

Published: 27 January 2016

DOI: 10.11648/j.ajtas.20160501.12

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Abstract: In statistics it is conventional to assume that the observations are normal. The entire statistical framework is grounded on this assumption and if this assumption is violated the inference breaks down. For this reason it is essential to check or test this assumption before any statistical analysis of data. In this paper we provide a brief review o... Show More

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Kernel-Type Estimators of Divergence Measures and Its Strong Uniform Consistency

Hamza Dhaker, Papa Ngom, El Hadji Deme, Pierre Mendy

Issue: Volume 5, Issue 1, January 2016

Pages: 13-22

Received: 8 January 2016

Accepted: 23 January 2016

Published: 16 February 2016

DOI: 10.11648/j.ajtas.20160501.13

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Abstract: Nonparametric density estimation, based on kernel-type estimators, is a very popular method in statistical research, especially when we want to model the probabilistic or stochastic structure of a data set. In this paper, we investigate the asymptotic confidence bands for the distribution with kernel-estimators for some types of divergence measures... Show More

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A Review on ‘Probability and Stochastic Processes’

Bodo Herzog

Issue: Volume 5, Issue 1, January 2016

Pages: 23-26

Received: 17 January 2016

Accepted: 26 January 2016

Published: 16 February 2016

DOI: 10.11648/j.ajtas.20160501.14

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Abstract: This paper is a commentary on the book ‘Probability and Stochastic Processes’ from Ionut Florescu. The book is an excellent introduction to both probability theory and stochastic processes. It provides a comprehensive discussion of the main statistical concepts including the theorems and proofs. The introduction to probability theory is easy access... Show More

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Tempering Process Optimization in Sae 9254 Wires Through Generalized Reduced Gradient, Genetic Algorithms and Simulated Annealing

Cristie Diego Pimenta, Messias Borges Silva, Rosinei Batista Ribeiro, Rose Lima de Morais Campos, Walfredo Ribeiro de Campos Junior, Jorge Luiz Rosa

Issue: Volume 5, Issue 1, January 2016

Pages: 27-38

Received: 15 January 2016

Accepted: 3 February 2016

Published: 23 February 2016

DOI: 10.11648/j.ajtas.20160501.15

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Abstract: The purpose of this work was the creation of a statistical modeling able to replace the process used to setup of the ovens of the quench hardening and tempering that is traditionally accomplished through adjustments made based on the results of mechanical properties as tested in laboratory and required in customer specifications. We sought to under... Show More

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