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  • Search: subject:"Linear models (Statistics)"
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Year of publication
Subject
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Linear models (Statistics) 3 linear models (statistics) 2 Industrial and Organisational Psychology 1 Inflation (Finance) 1 Insurance / Mathematics 1 Lineares Modell 1 Liquidity (Economics) 1 Rate of return 1 Statistical Theory 1 Statistik 1 Treasury bonds 1 Versicherung 1 aeronautics 1 contingency tables 1 decision making 1 estimation theory 1 mathematical statistics 1 ordinal variables 1 orthogonal polynomials 1
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Online availability
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Free 4
Type of publication
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Book / Working Paper 3 Article 2
Language
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English 4 Undetermined 1
Author
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Abrahams, Michael 1 Adrian, Tobias 1 Beh, Eric John 1 Crump, Richard K. 1 Davy, Pamela J. 1 Heller, Gillian Z. 1 Hunter, David R. 1 Jong, Piet de 1 Kim, Jinill 1 Kim, Sunghyun Henry 1 MARCS Auditory Laboratories 1 Martinussen, Monica 1 Moench, Emanuel 1 United States. Federal Aviation Commission 1 Wiggins, Mark W. 1
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Institution
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University of Western Sydney 2 College of Arts 1 College of Law and Business 1 Federal Reserve Bank of New York 1 Federal Reserve Board (Board of Governors of the Federal Reserve System) 1 School of Quantitative Methods and Mathematical Sciences 1 Universitetet i Troms? 1 University of Wollongong 1
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Published in...
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Finance and Economics Discussion Series 1 Staff Reports / Federal Reserve Bank of New York 1
Source
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BASE 2 RePEc 2 USB Cologne (EcoSocSci) 1
Showing 1 - 5 of 5
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Pricing TIPS and treasuries with linear regressions
Abrahams, Michael; Adrian, Tobias; Crump, Richard K.; … - Federal Reserve Bank of New York - 2012
We present an affine term structure model for the joint pricing of Treasury Inflation-Protected Securities (TIPS) and Treasury yield curves that adjusts for TIPS’ relative illiquidity. Our estimation using linear regressions is computationally very fast and can accommodate unspanned factors....
Persistent link: https://www.econbiz.de/10010585874
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Two pitfalls of linearization methods
Kim, Jinill; Kim, Sunghyun Henry - Federal Reserve Board (Board of Governors of the … - 2007
This paper illustrates two types of pitfalls in using linearization methods. First, if constraints are linearized before deriving optimality conditions, the derived conditions are not correct up to first order. Second, even when the behavior of the economy is correct to the first order, applying...
Persistent link: https://www.econbiz.de/10005393739
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A non-iterative alternative to ordinal log-linear models
Beh, Eric John; Davy, Pamela J. - University of Wollongong; University of Western Sydney; … - 2004
Log-linear modeling is a popular statistical tool for analysing a contingency table. This presentation focuses on an alternative approach to modeling ordinal categorical data. The technique, based on orthogonal polynomials, provides a much simpler method of model fitting than the conventional...
Persistent link: https://www.econbiz.de/10009482057
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Understanding how pilots make weather-related decisions
Hunter, David R.; United States. Federal Aviation Commission - Universitetet i Troms?; University of Western Sydney; … - 2003
The decision-making strategies of pilots were examined using a linear modeling technique. Three hundred twenty-six American, 104 Norwegian, and 51 Australian pilots completed a scenario-based judgment task in which they assigned a comfort rating to each of 27 weather scenarios for each of three...
Persistent link: https://www.econbiz.de/10009481998
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Generalized linear models for insurance data
Jong, Piet de; Heller, Gillian Z. - 2008
Persistent link: https://www.econbiz.de/10004898601
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