A sample size selection procedure for pairwise comparisons of means with unequal variances

Communication in Statistics- Theory and Methods ◽

10.1080/03610928808829694 ◽

1988 ◽

Vol 17 (5) ◽

pp. 1497-1505

Author(s):

Norman T. Bruvold ◽

Shanker Ganesan

Keyword(s):

Sample Size ◽

Selection Procedure ◽

Pairwise Comparisons ◽

Unequal Variances ◽

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Approximations for a fixed sample size selection procedure for negative binomial populations

Communication in Statistics- Theory and Methods ◽

10.1080/03610929108830596 ◽

1991 ◽

Vol 20 (5-6) ◽

pp. 1767-1776 ◽

Author(s):

Madhuri S. Mulekar ◽

Linda J. Young

Keyword(s):

Sample Size ◽

Negative Binomial ◽

Selection Procedure ◽

Size Selection ◽

Fixed Sample Size ◽

Fixed Sample ◽

Binomial Populations

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A fixed sample size selection procedure for negative binomial populations

Metrika ◽

10.1007/bf02613661 ◽

1993 ◽

Vol 40 (1) ◽

pp. 25-35 ◽

Author(s):

Madhuri S. Mulekar ◽

Linda J. Young

Keyword(s):

Sample Size ◽

Negative Binomial ◽

Selection Procedure ◽

Size Selection ◽

Fixed Sample Size ◽

Fixed Sample ◽

Binomial Populations

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Pairwise comparisons of means under realistic nonnormality, unequal variances, outliers and equal sample sizes

Journal of Statistical Computation and Simulation ◽

10.1080/00949650903219935 ◽

2011 ◽

Vol 81 (2) ◽

pp. 125-135 ◽

Author(s):

Philip H. Ramsey ◽

Kyrstle Barrera ◽

Pri Hachimine-Semprebom ◽

Chang-Chia Liu

Keyword(s):

Pairwise Comparisons ◽

Sample Sizes ◽

Unequal Variances

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Sample size selection for improved Nelder-Mead performance

Winter Simulation Conference Proceedings, 1995. ◽

10.1109/wsc.1995.478754 ◽

2005 ◽

Author(s):

J.J. Tomick ◽

S.F. Arnold ◽

R.R. Barton

Keyword(s):

Sample Size ◽

Size Selection ◽

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Feature and Sample Size Selection for Malware Classification Process

Lecture Notes in Electrical Engineering - ICCCE 2020 ◽

10.1007/978-981-15-7961-5_21 ◽

2020 ◽

pp. 217-223

Author(s):

Raghunath Reddy ◽

M. Kumara Swamy ◽

D. Ajay Kumar

Keyword(s):

Sample Size ◽

Size Selection ◽

Malware Classification ◽

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Not Too Big, Not Too Small: A Goldilocks Approach To Sample Size Selection

Journal of Biopharmaceutical Statistics ◽

10.1080/10543406.2014.888569 ◽

2014 ◽

Vol 24 (3) ◽

pp. 685-705 ◽

Author(s):

Kristine R. Broglio ◽

Jason T. Connor ◽

Scott M. Berry

Keyword(s):

Sample Size ◽

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Dynamic sample size selection based quasi-Newton training for highly nonlinear function approximation using multilayer neural networks

The 2013 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2013.6706976 ◽

2013 ◽

Author(s):

Hiroshi Ninomiya

Keyword(s):

Neural Networks ◽

Sample Size ◽

Function Approximation ◽

Nonlinear Function ◽

Size Selection ◽

Highly Nonlinear ◽

Multilayer Neural Networks ◽

Nonlinear Function Approximation ◽

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Minimum test chip sample size selection for characterizing process parameters

IEEE Journal of Solid-State Circuits ◽

10.1109/jssc.1984.1052096 ◽

1984 ◽

Vol 19 (1) ◽

pp. 123-130 ◽

Author(s):

J.S. Suehle ◽

L.W. Linholm ◽

K. Kafadar

Keyword(s):

Sample Size ◽

Process Parameters ◽

Test Chip ◽

Size Selection ◽

Chip Sample ◽

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Relative importance of strategies for improving the sample size selection and reporting of small randomized clinical trials in anesthesiology

Canadian Journal of Anesthesia/Journal canadien d anesthésie ◽

10.1007/s12630-018-1110-6 ◽

2018 ◽

Vol 65 (6) ◽

pp. 607-610

Author(s):

Emine Ozgur Bayman ◽

Franklin Dexter

Keyword(s):

Clinical Trials ◽

Sample Size ◽

Randomized Clinical Trials ◽

Relative Importance ◽

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On Sample-Size Selection and the Evaluation of Discriminability in the Model Choice Problem

Journal of the American Statistical Association ◽

10.1080/01621459.1982.10477908 ◽

1982 ◽

Vol 77 (380) ◽

pp. 922-928

Author(s):

Michael Goldstein ◽

David Collett

Keyword(s):

Sample Size ◽

Model Choice ◽

Choice Problem ◽

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