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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…
Siraj Muhammed Pandhiani, Ani Bin Shabri
This study explores the least square support vector and wavelet technique (WLSSVM) in the monthly stream flow fore casting. This is a new hybrid technique. The 30 day s periodic predicting statistics used in this study are derived from the subjection of this…
Wenquan Cui, Meng Wei
In this paper, regression function estimation from independent and identically distributed data is considered. We es tablish strong pointwise consistency of the famous Nadaraya-Watson estimator under weaker conditions which permit to apply kernels with unboun…
Md. Moyazzem Hossain, Tapati Basak, Ajit Kumar Majumder
In developing counties, efficiency of economic development has been determined by the analysis of industrial produc tion. An examination of the characteristic of industrial sector is an essential aspect of growth studies. The growth of a country can be measur…
Zhaoben Fang, Junpeng Zhu, Rongjie Deng
Based on the review of various methods of estimating Gini coefficient, the paper applies a quintile rule to estimate Gini coefficient of rural areas, urban areas and the whole country using the grouped income data of urban and rural residents. Besides, the pa…
Radhey S. Singh, Dishna P. Totawattage
The analysis of survival data is a major focus of statistics. Interval censored data reflect uncertainty as to the exact times the units failed within an interval. This type of data frequently comes from tests or situations where the objects of inter est are…
Zhang Liu, Aili Zhang, Canhua Li
In this paper, we consider the dual risk model in which periodic taxation are paid according to a loss-carry-forward sys tem and dividends are paid under a threshold strategy. We give an analytical approach to derive the expression of g δ ( u ) ( i.e . the La…
Hazem I. El Shekh Ahmed
The generalized order statistics which introduced by [1] are studied in the present paper. The Gompertz distribution is widely used to describe the distribution of adult deaths, and some related models used in the economic applications [2]. Previous works con…
Bouchra Nasri, Salaheddine El Adlouni, Taha B. M. J. Ouarda
The stationarity hypothesis is essential in hydrological frequency analysis and statistical inference. This assumption is often not fulfilled for large observed datasets, especially in the case of hydro-climatic variables. The Generalized Ex treme Value distr…
Mohan Delampady
Computations involved in Bayesian approach to practical model selection problems are usually very difficult. Computa tional simplifications are sometimes possible, but are not generally applicable. There is a large literature available on a methodology based…
Hans C. van Houwelingen, Willi Sauerbrei
In deriving a regression model analysts often have to use variable selection, despite of problems introduced by data- dependent model building. Resampling approaches are proposed to handle some of the critical issues. In order to assess and compare several st…
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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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Manuscripts must be original and not under consideration elsewhere. Submit in Microsoft Word or LaTeX with figures at 300 dpi minimum. Structure research articles as Abstract, Introduction, Methods, Results, Discussion, and References.
Use the journal's numbered (Vancouver) reference style. Cite sources consecutively in the order they appear, and ensure every reference is complete and retrievable.
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