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

Volume 3, Issue 1, January 2014

Bayesian Model Averaging: An Application to the Determinants of Airport Departure Delay in Uganda

Wesonga Ronald, Nabugoomu Fabian

Issue: Volume 3, Issue 1, January 2014

Pages: 1-5

Received: 9 November 2013

Published: 10 December 2013

DOI: 10.11648/j.ajtas.20140301.11

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Abstract: Bayesian model averaging was employed to study the dynamics of aircraft departure delay based on airport operational data of aviation and meteorological parameters collected on daily basis for the period 2004 through 2008 in matrix X. Models were evaluated using the R programming language mainly to establish the combinations of variables that could... Show More

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Using GLS to Generate Forecasts in Regression Models with Auto-correlated Disturbances with simulation and Palestinian Market Index Data

Samir K. Safi, Ehab A. Abu Saif

Issue: Volume 3, Issue 1, January 2014

Pages: 6-17

Received: 12 December 2013

Published: 30 December 2013

DOI: 10.11648/j.ajtas.20140301.12

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Abstract: This paper involves an important statistical problem concerning forecasting in regression models in time series processes. It is well known that the most famous method of estimating and forecasting is the Ordinary Least Squares (OLS). OLS may be not the optimal in this context. So over the years many specialized estimation techniques have been deve... Show More

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The G-Method for Rank Determination in Rank Order Statistics for ‘C’ Samples

Oyeka Ikewelugo Cyprian Anaene., Nwankwo Chike H., Awopeju K. Abidemi

Issue: Volume 3, Issue 1, January 2014

Pages: 18-24

Received: 8 October 2013

Published: 10 January 2014

DOI: 10.11648/j.ajtas.20140301.13

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Abstract: This paper proposes a statistical method called ‘the G method’ to highlight its generalized nature for the determination and assignment of ranks to sample observations drawn from several populations for possible use in further analyses. The sampled populations may be measurements on as low as the ordinal scale and need not be continuous or even num... Show More

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Bayesian Estimation of Reliability Function for A Changing Exponential Family Model under Different Loss Functions

P. Nasiri, N. Jafari, A. Jafari

Issue: Volume 3, Issue 1, January 2014

Pages: 25-30

Received: 30 November 2013

Published: 28 February 2014

DOI: 10.11648/j.ajtas.20140301.14

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Abstract: The paper deals with estimating shift point which occurs in any sequences of independent observations x1, x2, …, xm, xm+1, …, xn of poisson and geometric distributions. This shift point occurs in the sequence when xm i. e. m life data are observed. With known shift point 'm', the Bayes estimator on befor and after shift process means θ1 and θ2 are ... Show More

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