Interval estimation for the difference between two populations

2021 ◽  
pp. 209-229
Author(s):  
Abbas F.M. Alkarkhi
Keyword(s):  
Interval Estimation ◽  
The Difference ◽  
Two Populations

A Critique and Improvement of the CL Common Language Effect Size Statistics of McGraw and Wong

2000 ◽  
Vol 25 (2) ◽  
pp. 101-132 ◽  
Author(s):  
András Vargha ◽  
Harold D. Delaney
Keyword(s):  
Effect Size ◽  
Continuous Distribution ◽  
Interval Estimation ◽  
Continuous Variable ◽  
Common Language ◽  
Exact Methods ◽  
Normal Distributions ◽  
The Difference ◽  
Discrete Values ◽  
Two Populations

McGraw and Wong (1992) described an appealing index of effect size, called CL, which measures the difference between two populations in terms of the probability that a score sampled at random from the first population will be greater than a score sampled at random from the second. McGraw and Wong introduced this "common language effect size statistic" for normal distributions and then proposed an approximate estimation for any continuous distribution. In addition, they generalized CL to the n-group case, the correlated samples case, and the discrete values case. In the current paper a different generalization of CL, called the A measure of stochastic superiority, is proposed, which may be directly applied for any discrete or continuous variable that is at least ordinally scaled. Exact methods for point and interval estimation as well as the significance tests of the A = .5 hypothesis are provided. New generalizations ofCL are provided for the multi-group and correlated samples cases.

Testing for Asymmetrical Gene Flow in aDrosophila melanogasterBody-Size Cline

Genetics ◽  
2003 ◽  
Vol 165 (2) ◽  
pp. 667-673 ◽  
Author(s):  
W Jason Kennington ◽  
Julia Gockel ◽  
Linda Partridge
Keyword(s):  
Drosophila Melanogaster ◽  
Gene Flow ◽  
Body Size ◽  
Genetic Parameter ◽  
Good Evidence ◽  
Microsatellite Data ◽  
Eastern Australia ◽  
The Difference ◽  
Two Populations ◽  
Private Alleles

AbstractAsymmetrical gene flow is an important, but rarely examined genetic parameter. Here, we develop a new method for detecting departures from symmetrical migration between two populations using microsatellite data that are based on the difference in the proportion of private alleles. Application of this approach to data collected from wild-caught Drosophila melanogaster along a latitudinal body-size cline in eastern Australia revealed that asymmetrical gene flow could be detected, but was uncommon, nonlocalized, and occurred in both directions. We also show that, in contrast to the findings of a previous study, there is good evidence to suggest that the cline experiences significant levels of gene flow between populations.

scholarly journals First results of Central Asiatic Euchalcia DNA-studies: comparison of nucleotide sequence differences in COI between Euchalcia herrichi and Euchalcia gyulai (Lepidoptera: Noctuidae)

2020 ◽  
Vol 6 ◽  
pp. 1-4
Author(s):  
Stanislav K Korb
Keyword(s):  
Nucleotide Sequence ◽  
Cytochrome C ◽  
Dna Barcoding ◽  
Cytochrome C Oxidase ◽  
Coi Gene ◽  
First Results ◽  
The Difference ◽  
Coi Sequences ◽  
Lepidoptera Noctuidae ◽  
Two Populations

We submitted first results of the DNA studies of the Central Asiatic owlet moths of the genus Euchalcia. Standard cytochrome C oxidase subunit I (COI) gene fragments were sequenced for DNA barcoding of six specimens belonging to Euchalcia herrichi and Euchalcia gyulai. We compared the received sequences between discussed species and with two European Euchalcia species (E. variabilis and E. consona). We found no variability within the COI sequences of the samples collected in the same locality (Alai Mts., Kyrgyzstan), whereas the difference in COI sequences between two populations (Ketmen Mts., Kazakhstan and Alai Mts., Kyrgyzstan) was 0.005.

Method of Generated Responses and Schizophrenic Deficit

1971 ◽  
Vol 29 (3) ◽  
pp. 975-982
Author(s):  
Anne Marie Bercik ◽  
John H. Mueller
Keyword(s):  
Paired Associates ◽  
High Dominance ◽  
The Difference ◽  
And Control ◽  
Two Populations ◽  
Do So

Schizophrenic and control Ss were compared on the method of generated responses (MGR) and conventional paired-associates (PA), using lists of stimuli which elicited either primarily one response or several responses. The low-dominance list was more difficult, and schizophrenics were generally slower in learning. The MGR, with Ss producing their own responses, was easier than conventional PA (yoked controls). While the MGR reduced the difference between the low- and high-dominance lists, it did not do so differentially for the two populations. The results were discussed in terms of Broen and Storms' theory of “collapsed” response hierarchies in schizophrenia.

scholarly journals Bayesian Inference for the Difference of Two Proportion Parameters in Over-Reported Two-Sample Binomial Data Using the Doubly Sample

Stats ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 111-120 ◽  
Author(s):  
Dewi Rahardja
Keyword(s):  
Bayesian Inference ◽  
Closed Form ◽  
Bayesian Approach ◽  
Interval Estimation ◽  
Real Data ◽  
Simulation Studies ◽  
Posterior Distributions ◽  
Binomial Data ◽  
The Difference ◽  
Data Subject

We construct a point and interval estimation using a Bayesian approach for the difference of two population proportion parameters based on two independent samples of binomial data subject to one type of misclassification. Specifically, we derive an easy-to-implement closed-form algorithm for drawing from the posterior distributions. For illustration, we applied our algorithm to a real data example. Finally, we conduct simulation studies to demonstrate the efficiency of our algorithm for Bayesian inference.

Interval Estimation and Hypothesis Testing

2014 ◽  
Vol 543-547 ◽  
pp. 1717-1720
Author(s):  
Da Yang
Keyword(s):  
Hypothesis Testing ◽  
Statistical Inference ◽  
Mutual Influence ◽  
Hypothesis Test ◽  
Interval Estimation ◽  
Point Of View ◽  
Economic Management ◽  
Engineering Technology ◽  
Internal Relations ◽  
The Difference

Mathematical statistics is a branch of mathematics has extensive application of interval estimation and hypothesis testing, which are two important problems of statistical inference. As two important statistical inference methods, interval estimation and hypothesis testing problem is more and more widely used in the field of economic management, finance and insurance, scientific research, engineering technology, the science of decision functions are recognized by more and more people. Can go further to establish mutual influence and communication between the interval estimation and hypothesis testing, can use the theory to explain the problem of interval estimation of parameter hypothesis test, this is an important problem to improve the statistical inference theory. Therefore, the basis on the internal relations between the interval estimation and hypothesis test for deep research, explain the problem of hypothesis testing and interval estimation from the point of view, discusses the difference and connection between the two.

scholarly journals A simple nonparametric test of the difference of location of two populations

1957 ◽  
Vol 02 (3) ◽  
pp. 215-221
Author(s):  
Zbyněk Šidák ◽  
Jiří Vondráček
Keyword(s):  
Nonparametric Test ◽  
The Difference ◽  
Two Populations
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