On the Bivariate Nakagami-Lognormal Distribution and Its Correlation Properties
نویسندگان
چکیده
منابع مشابه
Properties of the Sample Correlation of the Bivariate Lognormal Distribution
Most statistics students know that the sample correlation coefficient R is used to estimate the population correlation coefficient ρ. If the pair (X, Y) has a bivariate normal distribution, this would not cause any trouble. However, if the marginals are nonnormal, particularly if they have high skewness and kurtosis, the estimated value from a sample may be quite different from the population c...
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The sample correlation coefficient R is almost universally used to estimate the population correlation coefficient p. If the pair (X, Y)has a bivariate normal distribution, this would not cause any trouble. However, if the marginals are nonnormal, particularly if they have high skewness and kurtosis, the estimated value from a sample may be quite different from the population correlation coeffi...
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In this letter, capitalizing on the proof of a theorem presented by Blumenson and Miller many years ago, a useful closed formula for the exponentially correlated -variate Nakagamiprobability density function is proposed. Moreover, an infinite series approach for the corresponding cumulative distribution function is presented. Bounds on the error resulting from the truncation of the infinite ser...
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ژورنال
عنوان ژورنال: International Journal of Antennas and Propagation
سال: 2014
ISSN: 1687-5869,1687-5877
DOI: 10.1155/2014/328732