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Open Journal of Statistics (OJS) is an international journal dedicated to the latest advancements in statistics. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of statistics. All…
Md. Yasin Ali Parh, Sharmin Aktar Sumy, Md. Sazzad Hossain
The main objective of the current study is to examine the existing situation of female early age at first cohabitation in Bangladesh as well as to identify the factors associated behind this issue. An analysis has been performed by using the secondary data of…
William D. Johnson, Jeffrey H. Burton, Robbie A. Beyl, Jacob E. Romer
Zero-inflated distributions are common in statistical problems where there is interest in testing homogeneity of two or more independent groups. Often, the underlying distribution that has an inflated number of zero-valued observations is asymmetric, and its…
Hatim Solayman Migdadi
In this paper, the weighted Kolmogrov-Smirnov, Cramer von-Miss and the Anderson Darling test statistics are considered as goodness of fit tests for the generalized Rayleigh interval grouped data. An extensive simulation process is conducted to evaluate their…
Takashi Isozaki
A robust method is proposed for estimating discrete probability functions for small samples. The proposed approach introduces and minimizes a parameterized objective function that is analogous to free energy functions in statistical physics. A key feature of…
Timothy Ndonye Mutunga, Ali Salim Islam, Luke Akong’o Orawo
This paper implements the method of estimating functions (EF) in the modelling and forecasting of financial returns volatility. This estimation approach incorporates higher order moments which are common in most financial time series, into modelling, leading…
Cliff R. Kikawa, Michael Y. Shatalov, Petrus H. Kloppers, Andrew C. Mkolesia
Estimation of the unknown mean, μ and variance, σ 2 of a univariate Gaussian distribution given a single study variable x is considered. We propose an approach that does not require initialization of the sufficient unknown distribution parameters. The approac…
Pradip Kumar Nandi, Rajender Parsad, Vinod Kumar Gupta
This article attempts to develop a simultaneous optimization procedure of several response variables from incomplete multi-response experiments. In incomplete multi-response experiments all the responses ( p ) are not recorded from all the experimental units…
Philip J. Sullivan, Kaitlyn LaForge-MacKenzie, Matthew Marini
Research on Positive Youth Development (PYD) has been hampered by lack of a valid measure for the construct, particularly for research in sport. The Youth Experiences Scale for Sport (YES-S) [1], is a five-factor measure of positive youth outcomes specificall…
William D. Johnson, Robbie A. Beyl, Jeffrey H. Burton, Callie M. Johnson, Jacob E. Romer, Lei Zhang
In large sample studies where distributions may be skewed and not readily transformed to symmetry, it may be of greater interest to compare different distributions in terms of percentiles rather than means. For example, it may be more informative to compare t…
Sivarajah Arumairajan, Pushpakanthie Wijekoon, 1 1
The paper introduces a new biased estimator namely Generalized Optimal Estimator (GOE) in a multiple linear regression when there exists multicollinearity among predictor variables. Stochastic properties of proposed estimator were derived, and the proposed es…
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Open Journal of Statistics (OJS) is an international journal dedicated to the latest advancements in statistics. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of statistics. All… All articles are open access under a CC BY 4.0 licence, with authors retaining copyright.
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