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ADAPTIVE ESTIMATION OF BINOMIAL PROBABILITIES UNDER MSCLASSIFICATION
"... I f misclassification occurs the standard binomial estimator is usually seriously biased. I t is known that an improvement can be achieved by using more than one observer in classifying the sample elements. Here it will be investigated which number of observers is optimal given the told number of ju ..."
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I f misclassification occurs the standard binomial estimator is usually seriously biased. I t is known that an improvement can be achieved by using more than one observer in classifying the sample elements. Here it will be investigated which number of observers is optimal given the told number
' Closed sequential tests for binomial probabilities'
"... BLOMQVIST, N. (1950). On a measure of dependence between two random variables. Ann. Math. ..."
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BLOMQVIST, N. (1950). On a measure of dependence between two random variables. Ann. Math.
GENERALIZED BINOMIAL PROBABILITY DISTRIBUTIONS ATTACHED TO LANDAU LEVELS ON THE RIEMANN SPHERE
"... ABSTRACT. A family of generalized binomial probability distributions attached to Landau levels on the Riemann sphere is introduced by constructing a kind of generalized coherent states. Their main statistical parameters are obtained explicitly. As application, photon num-ber statistics related to co ..."
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Cited by 1 (0 self)
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ABSTRACT. A family of generalized binomial probability distributions attached to Landau levels on the Riemann sphere is introduced by constructing a kind of generalized coherent states. Their main statistical parameters are obtained explicitly. As application, photon num-ber statistics related
Application of Binomial Probability Distribution in Cluster Analysis of Similar Binary Variables
"... Abstract – A cluster is a collection of data objects that are similar to one another within the same cluster and are dissimilar to the objects in other clusters. One approach to find out similarity or dissimilarity in binary variables is contingency table. This paper discusses a novel approach to fi ..."
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to find out similarity or dissimilarity using Binomial probability distribution.
1 A Study on Prediction of Spatial Binomial Probabilities with an Application to Spatial Design
"... This work studies some issues that are related to interpolation of binomial probabilities. In some situations, binomial counts are observed at some spatial locations and binomial probabilities are interpolated at un-sampled locations based on the sample data. An example in precision agriculture is c ..."
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Cited by 1 (1 self)
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This work studies some issues that are related to interpolation of binomial probabilities. In some situations, binomial counts are observed at some spatial locations and binomial probabilities are interpolated at un-sampled locations based on the sample data. An example in precision agriculture
The Chernoff Modification of the Fisher Exact Test for the Difference of Two Binomial Probabilities
, 2006
"... To test the difference of two binomial probabilities, we will apply the Fisher exact test modified by Chernoff (2002), which will be called CMF test. The key idea is to use the P-value of Fisher exact test as a test statistic and this makes it possible to apply the Fisher exact test for more general ..."
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To test the difference of two binomial probabilities, we will apply the Fisher exact test modified by Chernoff (2002), which will be called CMF test. The key idea is to use the P-value of Fisher exact test as a test statistic and this makes it possible to apply the Fisher exact test for more
APPLICATIONS AND APPROXIMATIONS OF HETEROGENEOUS WEIGHTED AND UNWEIGHTED J-BINOMIAL PROBABILITY DISTRIBUTIONS
"... We illustrate several applications of probability dis-tributions for N weighted Bernoulli trials sampled from J heterogeneous populations with unequal pi rates and wi weights. These distributions can be sig-nificantly non-binomial, non-normal, and under-dispersed compared to their binomial counterpa ..."
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We illustrate several applications of probability dis-tributions for N weighted Bernoulli trials sampled from J heterogeneous populations with unequal pi rates and wi weights. These distributions can be sig-nificantly non-binomial, non-normal, and under-dispersed compared to their binomial
PROCEDURES FOR OBTAINING BINOMIAL PROBABILITIES WITHIN THREE DECIMAL ACCURACY UNIVERSALLY
, 1950
"... Approved for Public Release; distribution is unlimited ABERDEEN PROVING GROUND, MARYLAND- I.,- · ru ·-~ ' ; l \ ~ ' • ~ ~;: ~ 'i ·....... ";. l.t- ' 'I • ..."
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Approved for Public Release; distribution is unlimited ABERDEEN PROVING GROUND, MARYLAND- I.,- · ru ·-~ ' ; l \ ~ ' • ~ ~;: ~ 'i ·....... ";. l.t- ' 'I •
with application to safety studies for drugs
, 2003
"... Multivariate tests comparing binomial probabilities, ..."
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