CSU Math Professor Publishes Scholarly Statistics Research

[caption id="attachment_2402" align="alignright" width="214"]Dr. Madhu Bhandary Dr. Madhu Bhandary[/caption]

COLUMBUS, Ga. — A Columbus State University mathematics professor, Madhusudan Bhandary, has had two more articles accepted for publication in scholarly journals focusing on statistics.

These two articles bring to 27 the number of papers that Bhandary has had published in scholarly journals since joining CSU in 2006. He expects one article, "On confidence interval of a common autocorrelation coefficient for two populations in multivariate data when the errors are autocorrelated," to be published later this year by the Journal of Statistics and Management Systems.

“Weather patterns throughout the year change month by month, and there is autocorrelation of the weather patterns from one month to the next month,” Bhandary said, referring to the mathematical tool for detecting repeating patterns.

That article deals with a method Bhandary has developed for determining the reliability of an estimate.

Also to be published this year, in the Journal of Modern Applied Statistical Methods, is Bhandary’s article titled "An alternative test for the equality of intraclass correlation coefficients under unequal family sizes for several populations.”

Intraclass correlation is a descriptive statistic that indicates how strongly units in the same group resemble each other. The intraclass correlation coefficient could help public health researchers correct for families of varying sizes in tracking health indicators such as blood pressure or cholesterol, Bhandary said.

He previously served on the faculty of North Dakota State University, the Indian Institute of Management in Calcutta and the University of Wisconsin. He earned his Ph.D. in statistics from the University of Pittsburgh.

Bhandary’s background has made him an expert in multivariate statistics, which encompasses simultaneous observation and analysis of multiple variables. His research often focuses on statistical applications related to signal processing, which is a major component of electrical engineering. Bhandary has also applied multivariate methodologies and analyses to research in such varied fields as medicine, management and education.

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