On the maximum total sample size of a group sequential test about bivariate binomial proportions

2011 ◽  
Vol 81 (7) ◽  
pp. 829-835
Author(s):  
Jihnhee Yu ◽  
James L. Kepner
Keyword(s):  
Sample Size ◽  
Total Sample ◽  
Sequential Test ◽  
Group Sequential ◽  
Total Sample Size ◽  
Binomial Proportions ◽  
Group Sequential Test

scholarly journals Fuzzy Approach for Group Sequential Test

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Duygu İçen ◽  
Sevil Bacanlı ◽  
Süleyman Günay
Keyword(s):  
Sample Size ◽  
Fuzzy Numbers ◽  
Sequential Test ◽  
Test Statistics ◽  
Fuzzy Approach ◽  
Group Sequential ◽  
Group Sequential Test ◽  
Fixed Sample ◽  
Sequential Tests ◽  
Group Sequential Tests

Buckley’s approach (Buckley (2004), (2005), (2006)) uses sets of confidence intervals by taking into consideration both of the uncertainty and impreciseness of concepts that produce triangular shaped fuzzy numbers for the estimator. This approach produces fuzzy test statistics and fuzzy critical values in hypothesis testing. In addition, the sample size is fixed for this test. When data comes sequentially, however, it is not suitable to study with a fixed sample size test. In such cases, sequential and group sequential tests are recommended. Unlike a sequential test, a group of sequential test provides substantial savings in sample and enables us to make decisions as early as possible. This intends paper to combine the benefits of group sequential test and Buckley's approach usingα-cuts. It attempts to show that usingα-cuts can be used within the group sequential tests. To illustrate the test more explicitly a numerical example is also given.

Farmers Sustainability and Social Justice: Evidences of Land Inequalities in Uttar Pradesh

2020 ◽  
pp. 232-238
Keyword(s):  
Social Justice ◽  
Sample Size ◽  
Field Survey ◽  
Uttar Pradesh ◽  
Total Sample ◽  
Small Farmers ◽  
Land Fragmentation ◽  
Total Sample Size ◽  
Fragmentation Index ◽  
State Economy

The present study is an attempt to inspect the aspect of social justice among the farmers in terms of fragmented land and farmers’ distress in Uttar Pradesh. The data were obtained through field survey via interview scheduled. A sample of 80 respondents from each targeted village namely, Jansar, Sithauli, Charsoni, and Jonai were selected from each region of Uttar Pradesh state economy. Thus, the study used a total sample size of 320 samples. Simmons index (1968) for canvassing the land fragmentation index (LFI) was applied in the Uttar Pradesh context. Further distress was measured via the help of ratios. It flaunted causes and degrees of distress were relatively high among marginal and small farmers. The result of LFI confirms that high fragmentation was a cause of subsistence income among marginal and small farms compared to semi-medium, and medium farms.

Growth in Self-Actualization (Personal Orientation Inventory) in Adult Encounter Groups

1981 ◽  
Vol 1 (1) ◽  
pp. 5-8
Author(s):  
Les Beach
Keyword(s):  
Sample Size ◽  
Personal Growth ◽  
Total Sample ◽  
Small Samples ◽  
Total Sample Size ◽  
Personal Orientation Inventory ◽  
Self Actualization ◽  
Personal Orientation

To test the efficacy of the Personal Orientation Inventory in assessing growth in self-actualization in relation to encounter groups and to provide a more powerful measure of such changes, pre- and posttest data from 3 highly comparable encounter groups (N = 43) were combined for analysis. Results indicated that the Personal Orientation Inventory is a sensitive instrument for assessing personal growth in encounter groups and that a larger total sample size provides more significant results than those reported for small samples (e. g., fewer than 15 participants).

Conditional Bias of Point Estimates Following a Group Sequential Test

2004 ◽  
Vol 14 (2) ◽  
pp. 505-530 ◽  
Author(s):  
Xiaoyin (Frank) Fan ◽  
David L. DeMets ◽  
K. K. Gordon Lan
Keyword(s):  
Sequential Test ◽  
Group Sequential ◽  
Point Estimates ◽  
Group Sequential Test
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