Estimation theory

Results: 8035



#Item
41CSIRO PUBLISHING  www.publish.csiro.au/journals/ajsr Australian Journal of Soil Research, 2003, 41, 1403–1422

CSIRO PUBLISHING www.publish.csiro.au/journals/ajsr Australian Journal of Soil Research, 2003, 41, 1403–1422

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Source URL: www.css.cornell.edu

Language: English - Date: 2015-10-21 13:33:05
42Understanding spatial nonstationarity in the influence of topography and vegetation on patterns of snow depth and snow water equivalent (SWE) can improve distributed SWE models, improve river runoff forecasts, and guide

Understanding spatial nonstationarity in the influence of topography and vegetation on patterns of snow depth and snow water equivalent (SWE) can improve distributed SWE models, improve river runoff forecasts, and guide

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Source URL: mmds-data.org

Language: English - Date: 2016-06-23 15:50:48
43Ann Inst Stat Math:469–490 DOIs10463Second-order asymptotic comparison of the MLE and MCLE of a natural parameter for a truncated exponential family of distributions

Ann Inst Stat Math:469–490 DOIs10463Second-order asymptotic comparison of the MLE and MCLE of a natural parameter for a truncated exponential family of distributions

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Source URL: www.ism.ac.jp

Language: English - Date: 2016-06-28 03:34:43
44Evaluating Problem Difficulty Rankings Using Sparse Student Response Data Ari BADER-NATAL 1 , Jordan POLLACK DEMO Lab, Brandeis University Abstract. Problem difficulty estimates play important roles in a wide variety of

Evaluating Problem Difficulty Rankings Using Sparse Student Response Data Ari BADER-NATAL 1 , Jordan POLLACK DEMO Lab, Brandeis University Abstract. Problem difficulty estimates play important roles in a wide variety of

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Source URL: aribadernatal.com

Language: English - Date: 2016-06-29 00:36:46
45Ann 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
46CHAPTER 6 The Information Function 104  Chapter 6: The Information Function

CHAPTER 6 The Information Function 104 Chapter 6: The Information Function

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Source URL: echo.edres.org

Language: English - Date: 2003-02-12 10:19:08
47Castagnetti_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
48Inferring 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
49SIGNAL PROCESSING LETTERS  1 The Random Walk Model Kalman Filter in Multichannel Active Noise Control

SIGNAL PROCESSING LETTERS 1 The Random Walk Model Kalman Filter in Multichannel Active Noise Control

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Source URL: www.inesc-id.pt

Language: English - Date: 2015-09-02 03:38:15
50Policy Evaluation Using the Ω-Return  Scott Niekum University of Texas at Austin  Philip S. Thomas

Policy Evaluation Using the Ω-Return Scott Niekum University of Texas at Austin Philip S. Thomas

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Source URL: psthomas.com

Language: English - Date: 2015-10-30 09:54:06