Research & Reviews : Journal of Statistics
Volume 2, Issue 2 (2013)
Published
Table of contents
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An Exact Kolmogorov–Smirnov Test for the Logarithmic Series Distribution with Unknown Parameter
Abstract: AbstractIn this paper, we develop an exact Kolmogorov–Smirnov goodness-of-fit test in the case of logarithmic series distribution with an unknown parameter value. This test is conditional, with the test statistic being the maximum absolute difference between the empirical distribution function and its conditional expectation given the sample total. Some modifications are done on an algorithm previously proposed in the case of the Poisson distribution and used the modified algorithm for …
Published in Research & Reviews : Journal of Statistics · Vol. 2, Issue 2, 2013 · pp. 1–11 Read article
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Bayesian Approach for Gender Differentiation by Finger Ridges Count
Abstract: AbstractClassification of gender from fingerprints is an important step in forensic anthropology in order to identify the gender of a person. Fingerprints are considered to be the most reliable criteria for personal identification. The present analysis was undertaken to observe the distribution of finger print pattern in males and females from U.P. The objective of the present study was to study the differences in the finger loop ridge count among …
Published in Research & Reviews : Journal of Statistics · Vol. 2, Issue 2, 2013 · pp. 12–15 Read article
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Estimation and Projection of Urban Population of India and China
Abstract: AbstractThe world urban population is expected to be double by 2050, increasing from 3.6 billion in 2011 to 6.3 billion in 2050 (UN, 2011). The urban population of India and China increasing exponentially over period of time the growth of urban population of India is slower than China after 1981 census. The urban population is projected with the help of past data. There are two types of approaches for calculating …
Published in Research & Reviews : Journal of Statistics · Vol. 2, Issue 2, 2013 · pp. 16–22 Read article
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Seasonal ARIMA for Forecasting Sea Surface Temperature of the North Zone of the Bay of Bengal
Abstract: The behavior of the sea surface temperature (SST) of the north zone of the Bay of Bengal plays an important role for understanding climate changes over Bangladesh. The monthly average of SST of this zone is used in this study which is obtained from January 1900 to December 2009. Box and Jenkins method is used to fit a seasonal auto regressive integrated moving average (ARIMA) model used in forecasting SST …
Published in Research & Reviews : Journal of Statistics · Vol. 2, Issue 2, 2013 · pp. 23–31 Read article