scholarly journals A Procedure For Selecting A Best Multinomial Distribution With Application To Population Income Mobility

2011 ◽  
Vol 10 (1) ◽  
Author(s):  
Saad T. Bakir
Keyword(s):  
Linear Combination ◽  
Multinomial Distribution ◽  
Correct Selection ◽  
Income Mobility ◽  
Probability Of Correct Selection ◽  
The One ◽  
Economics Of Happiness

A procedure is developed for selecting a subset which is asserted to contain the “best” of several multinomial populations with a pre-assigned probability of correct selection. According to a pre-chosen linear combination of the multinomial cell probabilities, the “best” population is defined to be the one with the highest such linear combination. As an illustration, the proposed procedure is applied to data relating to the economics of happiness and population income mobility.

Selection from Normal Populations Based on Coefficient of Variation

1987 ◽  
Vol 36 (3-4) ◽  
pp. 141-152
Author(s):  
M. S. Prasad ◽  
D. K. Rajhans
Keyword(s):  
Coefficient Of Variation ◽  
Normal Population ◽  
Correct Selection ◽  
Sample Mean ◽  
Probability Of Correct Selection ◽  
Normal Populations ◽  
The One ◽  
Ml Estimator ◽  
The Given ◽  
Better Than

In this paper two selection rules for selecting the best of k normal populations with known coefficient of variation are considered ; one is based on the sample mean and the other on sample variance. It is found that the procedure basen on variance is better than the one based on means, both in terms of smallness of minimum sample size required to achieve the given probability of correct selection and in terms of largeness of probability of correct selection. A procedure based on ML estimator is also given. The problem of selecting the best normal population when both the parameters are unknown is also considered. In this case an asymptotic solution using variance stabilising transformations is proposed.

scholarly journals On the Recurrence Properties of Narayana’s Cows Sequence

Symmetry ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 149
Author(s):  
Xin Lin
Keyword(s):  
Linear Combination ◽  
The Other ◽  
Other Hand ◽  
Computation Formula ◽  
The One

In this paper, we consider the recurrence properties of two generalized forms of Narayana’s cows sequence. On the one hand, we study Narayana’s cows sequence at negative indices and express it as the linear combination of the sequence at positive indices. On the other hand, we study the convolved Narayana number and obtain a computation formula for it.

Selecting the Best Alternative Based on Its Quantile

2020 ◽  
Author(s):  
Demet Batur ◽  
F. Fred Choobineh
Keyword(s):  
Value At Risk ◽  
Decision Makers ◽  
Correct Selection ◽  
Zone Size ◽  
Indifference Zone ◽  
Probability Of Correct Selection ◽  
A Value ◽  
Conscious Decision ◽  
Target Probability ◽  
Sequential Procedures

A value-at-risk, or quantile, is widely used as an appropriate investment selection measure for risk-conscious decision makers. We present two quantile-based sequential procedures—with and without consideration of equivalency between alternatives—for selecting the best alternative from a set of simulated alternatives. These procedures asymptotically guarantee a user-defined target probability of correct selection within a prespecified indifference zone. Experimental results demonstrate the trade-off between the indifference-zone size and the number of simulation iterations needed to render a correct selection while satisfying a desired probability of correct selection.

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