Statistical inference

Results: 6788



#Item
31The Cross-Quantilogram: Measuring Quantile Dependence and Testing Directional Predictability between Time Series∗ Heejoon Han†  Oliver Linton‡

The Cross-Quantilogram: Measuring Quantile Dependence and Testing Directional Predictability between Time Series∗ Heejoon Han† Oliver Linton‡

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Source URL: www.cb.cityu.edu.hk

Language: English - Date: 2016-07-08 02:15:18
32INSTRUMENTAL VARIABLES ESTIMATION WITH MANY WEAK INSTRUMENTS USING REGULARIZED JIVE CHRISTIAN HANSEN AND DAMIAN KOZBUR Abstract. We consider instrumental variables regression in models where the number of available instr

INSTRUMENTAL VARIABLES ESTIMATION WITH MANY WEAK INSTRUMENTS USING REGULARIZED JIVE CHRISTIAN HANSEN AND DAMIAN KOZBUR Abstract. We consider instrumental variables regression in models where the number of available instr

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Source URL: www.n.ethz.ch

Language: English - Date: 2013-10-06 16:12:54
33Seven Deadly Sins of Contemporary Quantitative Political Analysis Philip A. Schrodt Political Science Pennsylvania State University

Seven Deadly Sins of Contemporary Quantitative Political Analysis Philip A. Schrodt Political Science Pennsylvania State University

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Source URL: eventdata.parusanalytics.com

Language: English - Date: 2014-09-12 09:47:13
34Practical Advice for Selecting Sample Sizes William Fairbairn and Adam Kessler. Sample Size Calculator by Richard Tanburn. MayIntroduction Many project managers today have to measure their results, without ready

Practical Advice for Selecting Sample Sizes William Fairbairn and Adam Kessler. Sample Size Calculator by Richard Tanburn. MayIntroduction Many project managers today have to measure their results, without ready

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Source URL: www.enterprise-development.org

Language: English - Date: 2016-04-27 06:43:40
35Ann Inst Stat Math:855–876 DOIs10463y Competing risks data analysis under the accelerated failure time model with missing cause of failure Ming Zheng · Renxin Lin · Wen Yu

Ann Inst Stat Math:855–876 DOIs10463y Competing risks data analysis under the accelerated failure time model with missing cause of failure Ming Zheng · Renxin Lin · Wen Yu

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Source URL: www.ism.ac.jp

Language: English - Date: 2016-08-02 06:58:14
36Hypothesis Generation in Biology: A Science Teaching Challenge & Potential Solution Author(s): Paul K. Strode Source: The American Biology Teacher, 77(7):Published By: National Association of Biology Teachers UR

Hypothesis Generation in Biology: A Science Teaching Challenge & Potential Solution Author(s): Paul K. Strode Source: The American Biology Teacher, 77(7):Published By: National Association of Biology Teachers UR

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Source URL: datanuggets.org

Language: English - Date: 2015-11-09 18:31:05
37Castagnetti_Rossi_Trapani_31_Jan_2014.dvi

Castagnetti_Rossi_Trapani_31_Jan_2014.dvi

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Source URL: economia.unipv.it

Language: English - Date: 2014-02-05 04:48:33
38Inferring OD-Pairs and Utility-Based Travel Preferences of Shared Mobility System Users in a Multi-Modal Environment Anshuman Anjani Kumar1 , Jee Eun Kang1 , Changhyun Kwon2 , and Alexander Nikolaev1 1 Department

Inferring OD-Pairs and Utility-Based Travel Preferences of Shared Mobility System Users in a Multi-Modal Environment Anshuman Anjani Kumar1 , Jee Eun Kang1 , Changhyun Kwon2 , and Alexander Nikolaev1 1 Department

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Source URL: www.chkwon.net

Language: English - Date: 2016-08-04 11:55:32
39Volume 41 • Issue 8  IMS  Bulletin December 2012

Volume 41 • Issue 8 IMS  Bulletin December 2012

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Source URL: bulletin.imstat.org

Language: English - Date: 2012-11-15 16:07:35
40Hypothesis testing / Statistics / Statistical theory / Design of experiments / Knowledge / Statistical tests / Statistical inference / Null hypothesis / P-value / Statistical significance / Hypothesis / Null

Exercises Adapted from Freedman, Pisani and Purves (1997) “Statistics”, 3rd edition, W. W. Norton & Company, New York. True or False and explain: A “highly significant” result cannot possibly be due to chance.

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Source URL: compbio.ucdenver.edu

Language: English - Date: 2015-09-21 15:14:45