[PDF] Top 20 Are analysts’ loss functions asymmetric?
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Are analysts’ loss functions asymmetric?
... financial analysts’ forecasts of ...quadratic loss function, and has concluded that analysts’ objective is to minimise the mean absolute forecast error (MAE), rather than mean squared ...error ... See full document
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Are analysts' loss functions asymmetric?
... that analysts issue more biased forecasts for smaller companies in order to obtain access to management where less information is available (Francis and Willis, ...of analysts issuing forecasts for firm i ... See full document
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Stem cell researchers find their niche
... and asymmetric cell division provides a mechanism for the crucial regulation of stem cell numbers, and Weimin Zhong (Yale University, New Haven, CT, USA) asked whether stem cells use intrinsic asymmetric ... See full document
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Semi- Minimax Estimation of the Scale Parameter of Laplace Distribution under Symmetric and Asymmetric Loss Functions
... Abstract In this paper, semi- minimax estimation of the scale parameter of Laplace distribution is presented by applying the theorem of Lehmann (1950) under symmetric (quadratic) and asymmetric (entropy and ... See full document
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Bayesian Estimation for the Pareto Income Distribution under Asymmetric LINEX Loss Function
... the loss function may be ...the loss un- der consideration was Squared Error loss ...of asymmetric loss functions was introduced by Varian (1975) ... See full document
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Minimax Estimation of the Scale Parameter in a Family of Transformed Chi-Square Distributions under Asymmetric Squared Log Error and MLINEX Loss Functions
... In this paper, the minimax estimators of the scale parameter θ in a family of transformed chi-square distributions are derived under two asymmetric loss functions, square log error loss (SLE) ... See full document
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Estimation Based on Progressive First Failure Censored Sampling with Binomial Removals
... In this paper, the inference for the Burr-X model under progressively first-failure censoring scheme is discussed. Based on this new censoring were the number of units removed at each failure time has a discrete binomial ... See full document
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Estimation of flood warning runoff thresholds in ungauged basins with asymmetric error functions
... the loss function, cannot be fixed a priori, since such choice should be based on a location-specific cost-benefit analy- sis, keeping into account the avoidable losses ... See full document
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Asymmetric Loss Functions and the Rationality of Expected Stock Returns
... agents’ loss functions from the Elliott, Komunjer and Timmermann (2005) methodology with squared forecast errors ...the loss functions of survey participants have to be equal to one ... See full document
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Bayesian Estimation Of Shift Point In Poisson Model Under Asymmetric Loss Functions
... entropy loss functions (GELF) by Calabria and Pulcini (1996) and precautionary loss function (PLE) studied by ...Such asymmetric loss functions are also studied by Ohtani (1995), ... See full document
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US inflation expectations and heterogeneous loss functions, 1968 2010
... for asymmetric loss using a testing procedure originally applied by Clements (2009) to the output growth ...with asymmetric loss ...and asymmetric loss using an individual-level ... See full document
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Relative profit maximization and equivalence of Cournot and Bertrand equilibria in asymmetric duopoly
... an asymmetric duopoly with differentiated goods in which each firm maximizes its relative profit that is the difference between its profit and the profit of the rival ...cost functions are linear but ... See full document
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Bayes rules for optimally using Bayesian hierarchical regression models in provider profiling to identify high-mortality hospitals
... complex loss functions have not been derived for hospitals report ...different loss functions on the identification of hospitals with higher than acceptable mortality when Bayesian methods are ... See full document
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Loss Functions in Restricted Parameter Spaces and Their Bayesian Applications
... a loss function when a parameter space is restricted to a particu- lar open subset based on an appropriate definition of ...of loss functions: convexity and ...several loss functions ... See full document
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Adaptability and transferability of flood loss functions in residential areas
... Flood loss modeling is an important component within flood risk ...stage-damage functions are used for the estimation of direct monetary dam- age to ...such functions are governed by large ... See full document
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Loss Functions for Detecting Outliers in Panel Data: An Introduction
... percentage changes stand out. In the cases of Southern California and Dallas-Fort Worth, the populations are so large that small percentage changes create large losses. This may lead the subject matter analyst to ... See full document
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H-infinity Control of Active Magnetic Bearings: An Intelligent Uncertainty Modeling Approach
... using asymmetric bilinear error cost functions, to estimate confidence intervals on the uncertainty associated with nominal linear mod- els for robust control ... See full document
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Changepoint Detection in the Presence of Outliers
... detect changes when they happen, and we have only one region where there is some fluctuation in where we estimate the most recent changepoint. Whilst by eye the plot may suggest we immediately detect the changes, there ... See full document
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Empowering Analysts With Big Data
... • Analysts leverage the greatest processor on earth, their ...upon. Analysts can be great at utilizing pattern recognition and sensemaking skills, up to a ...Once analysts pass that threshold, human ... See full document
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Empowering Analysts to Employ Analytics
... ▲ We have to understand how analytics defines multiple efficient frontiers, and helps determine the proper supply chain targets.?. Let’s examine its planning cadence?[r] ... See full document
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