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Results: 1-25 | 26-50 | 51-51

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Results : 26-50/51

Plotting Likelihood-Ratio-Based Confidence Regions for Two-Parameter Univariate Probability Models

Authors: Leemis Lawrence Loh Andrew Weld Christopher

Journal: American statistician

Citation: Leemis Lawrence et al., Plotting Likelihood-Ratio-Based Confidence Regions for Two-Parameter Univariate Probability Models, American statistician , 74(2), 2020, pp. 156-168

Archetypal Analysis With Missing Data: See All Samples by Looking at a Few Based on Extreme Profiles

Authors: Epifanio Irene Ibanez M. Victoria Simò Amelia

Journal: American statistician

Citation: Epifanio Irene et al., Archetypal Analysis With Missing Data: See All Samples by Looking at a Few Based on Extreme Profiles, American statistician , 74(2), 2020, pp. 169-183

Time Parameterizations in Cluster Randomized Trial Planning

Authors: Grantham Kelsey L. Kasza Jessica Heritier Stephane Forbes Andrew B.

Journal: American statistician

Citation: L. Grantham Kelsey et al., Time Parameterizations in Cluster Randomized Trial Planning, American statistician , 74(2), 2020, pp. 184-189

How Does a Statistician Raise an Army? The Time When John W. Tukey, a Team of Luminaries, and a Statistics Graduate Student Repaired the Vietnam Selective Service Lotteries

Authors: Johnson Tim Dawes Christopher T. Conley Dalton

Journal: American statistician

Citation: Johnson Tim et al., How Does a Statistician Raise an Army? The Time When John W. Tukey, a Team of Luminaries, and a Statistics Graduate Student Repaired the Vietnam Selective Service Lotteries, American statistician , 74(2), 2020, pp. 190-196

Lest We Forget: U.S. Selective Service Lotteries, 1917.2019

Authors: Hanley James A.

Journal: American statistician

Citation: A. Hanley James, Lest We Forget: U.S. Selective Service Lotteries, 1917.2019, American statistician , 74(2), 2020, pp. 197-206

The Detection of Nonnegligible Directional Effects With Associated Measures of Statistical Significance

Authors: McCann Melinda H. . Habiger Joshua D

Journal: American statistician

Citation: H. Mccann Melinda et D. . Habiger Joshua, The Detection of Nonnegligible Directional Effects With Associated Measures of Statistical Significance, American statistician , 74(3), 2020, pp. 213-217

Some Improvements on Markov's Theorem with Extensions

Authors: Ogasawara Haruhiko

Journal: American statistician

Citation: Ogasawara Haruhiko, Some Improvements on Markov's Theorem with Extensions, American statistician , 74(3), 2020, pp. 218-225

Compound Regression and Constrained Regression: Nonparametric Regression Frameworks for EIV Models

Authors: Ling Leng Wei Zhu

Journal: American statistician

Citation: Ling Leng et Wei Zhu, Compound Regression and Constrained Regression: Nonparametric Regression Frameworks for EIV Models, American statistician , 74(3), 2020, pp. 226-232

Nonparametric Estimation of the Conditional Distribution at Regression Boundary Points

Authors: Srinjoy Das . Politis Dimitris N

Journal: American statistician

Citation: Srinjoy Das et N. . Politis Dimitris, Nonparametric Estimation of the Conditional Distribution at Regression Boundary Points, American statistician , 74(3), 2020, pp. 233-242

On Causal Inferences for Personalized Medicine: How Hidden Causal Assumptions Led to Erroneous Causal Claims About the D-Value

Authors: Greenland Sander Robins James M. Fay Michael P. Brittain Erica H. , . Shih Joanna H . Follmann Dean A Gabriel Erin E.

Journal: American statistician

Citation: Greenland Sander et al., On Causal Inferences for Personalized Medicine: How Hidden Causal Assumptions Led to Erroneous Causal Claims About the D-Value, American statistician , 74(3), 2020, pp. 243-248

Bayesian Causality

Authors: Baldi Pierre Shahbaba Babak

Journal: American statistician

Citation: Baldi Pierre et Shahbaba Babak, Bayesian Causality, American statistician , 74(3), 2020, pp. 249-257

Detecting Directionality in Time Series

Authors: Mansor Mahayaudin M. Metcalfe Andrew V. Green David A.

Journal: American statistician

Citation: M. Mansor Mahayaudin et al., Detecting Directionality in Time Series, American statistician , 74(3), 2020, pp. 258-266

Bias in Small-Sample Inference With Count-Data Models

Authors: Blackburn McKinley L.

Journal: American statistician

Citation: L. Blackburn Mckinley, Bias in Small-Sample Inference With Count-Data Models, American statistician , 74(3), 2020, pp. 267-273

A New Analysis Strategy for Designs With Complex Aliasing

Authors: Andrew Kane Abhyuday Mandal

Journal: American statistician

Citation: Andrew Kane et Abhyuday Mandal, A New Analysis Strategy for Designs With Complex Aliasing, American statistician , 74(3), 2020, pp. 274-281

Trend and Return Level of Extreme Snow Events in New York City

Authors: Mintaek Lee & Jaechoul Lee

Journal: American statistician

Citation: Mintaek Lee & et Jaechoul Lee, Trend and Return Level of Extreme Snow Events in New York City, American statistician , 74(3), 2020, pp. 282-293

On a Proper Bayes, but Inadmissible Estimator

Authors: Bhagwat Pankaj Marchand Éric

Journal: American statistician

Citation: Bhagwat Pankaj et Marchand Éric, On a Proper Bayes, but Inadmissible Estimator, American statistician , 74(3), 2020, pp. 294-296

On the Maximum.Minimums Identity: Extension and Applications

Authors: Salama Ibrahim Koch Gary

Journal: American statistician

Citation: Salama Ibrahim et Koch Gary, On the Maximum.Minimums Identity: Extension and Applications, American statistician , 74(3), 2020, pp. 297-300

Was Quetelet.s Average Man Normal?

Authors: Gallagher Eugene D.

Journal: American statistician

Citation: D. Gallagher Eugene, Was Quetelet.s Average Man Normal?, American statistician , 74(3), 2020, pp. 301-306

Visualizing Mean, Median, Mean Deviation, and Standard Deviation of a Set of Numbers

Authors: Jyotirmoy Sarkar Mamunur Rashid

Journal: American statistician

Citation: Jyotirmoy Sarkar et Mamunur Rashid, Visualizing Mean, Median, Mean Deviation, and Standard Deviation of a Set of Numbers, American statistician , 74(4), 2020, pp. 304-312

A Time-Series Model for Underdispersed or Overdispersed Counts

Authors: Bhamani Feroz MacDonald Iain L.

Journal: American statistician

Citation: Bhamani Feroz et L. Macdonald Iain, A Time-Series Model for Underdispersed or Overdispersed Counts, American statistician , 74(4), 2020, pp. 317-328

Big Data? Statistical Process Control Can Help!

Authors: Peihua Qiu

Journal: American statistician

Citation: Peihua Qiu, Big Data? Statistical Process Control Can Help!, American statistician , 74(4), 2020, pp. 329-344

Applications of the Fractional-Random-Weight Bootstrap

Authors: Li Xu Gotwalt Chris Meeker William Q King Caleb B. Yili Hong,

Journal: American statistician

Citation: Li Xu et al., Applications of the Fractional-Random-Weight Bootstrap, American statistician , 74(4), 2020, pp. 345-358

Assessing Bayes Factor Surfaces Using Interactive Visualization and Computer Surrogate Modeling

Authors: Franck Christopher T. Gramacy Robert B.

Journal: American statistician

Citation: T. Franck Christopher et B. Gramacy Robert, Assessing Bayes Factor Surfaces Using Interactive Visualization and Computer Surrogate Modeling, American statistician , 74(4), 2020, pp. 359-369

Decision-Theoretic Hypothesis Testing: A Primer With R Package OptSig

Authors: Jae H. Kim

Journal: American statistician

Citation: Jae H. Kim, Decision-Theoretic Hypothesis Testing: A Primer With R Package OptSig, American statistician , 74(4), 2020, pp. 370-379

Going Viral, Binge-Watching, and Attention Cannibalism

Authors: Grimshaw Scott D. Berrett Candace Blades Natalie J.

Journal: American statistician

Citation: D. Grimshaw Scott et al., Going Viral, Binge-Watching, and Attention Cannibalism, American statistician , 74(4), 2020, pp. 380-391

Results: 1-25 | 26-50 | 51-51