On the impact of financial distress on capital structure
... deviations from their firm-specific time-series means (time-demeaned variables) removes the time-invariant firm-specific effect. However, this simultaneously creates a correlation between the time-demeaned lagged dependent variable and the time-demeaned error term, introducing a bias in the dynamic pane ...
... deviations from their firm-specific time-series means (time-demeaned variables) removes the time-invariant firm-specific effect. However, this simultaneously creates a correlation between the time-demeaned lagged dependent variable and the time-demeaned error term, introducing a bias in the dynamic pane ...
Chapter 17 Estimating the Rate Ratio Tabular methods
... Let's examine slowly the content of the right hand side of these equations: "e" is that well known irrational number (2.718…); "r" is the number of events we specify, such as 267; and r! (r factorial) is short for multiplication of sequential integers (1x2x3x…r). But what is μ in this equation? Well ...
... Let's examine slowly the content of the right hand side of these equations: "e" is that well known irrational number (2.718…); "r" is the number of events we specify, such as 267; and r! (r factorial) is short for multiplication of sequential integers (1x2x3x…r). But what is μ in this equation? Well ...
Shape Transformation Using Variational Implicit Functions
... into a single step. We create a transformation between two Ndimensional objects by casting this as a scattered data interpolation problem in N + 1 dimensions. For the case of 2D shapes, we place all of our data constraints within two planes, one for each shape. These planes are placed parallel to on ...
... into a single step. We create a transformation between two Ndimensional objects by casting this as a scattered data interpolation problem in N + 1 dimensions. For the case of 2D shapes, we place all of our data constraints within two planes, one for each shape. These planes are placed parallel to on ...
Phylogenetic Logistic Regression for Binary Dependent Variables
... Abstract.—We develop statistical methods for phylogenetic logistic regression in which the dependent variable is binary (0 or 1) and values are nonindependent among species, with phylogenetically related species tending to have the same value of the dependent variable. The methods are based on an ev ...
... Abstract.—We develop statistical methods for phylogenetic logistic regression in which the dependent variable is binary (0 or 1) and values are nonindependent among species, with phylogenetically related species tending to have the same value of the dependent variable. The methods are based on an ev ...
full version
... their bias is of the same order as their error about the mean, and accommodating the bias has been a major obstacle to achieving good coverage accuracy. Conventional bootstrap methods can be used to estimate the bias and reduce its impact, but the bias estimators fail to be consistent, and in fact t ...
... their bias is of the same order as their error about the mean, and accommodating the bias has been a major obstacle to achieving good coverage accuracy. Conventional bootstrap methods can be used to estimate the bias and reduce its impact, but the bias estimators fail to be consistent, and in fact t ...
Regression Analysis Using JMP
... • How is the response variable affected by changes in explanatory variable? We would like a numerical description of how both variables vary together. • Determine the significance of the explanatory variable in explaining the variability in the response (not necessarily causation). • Predict values ...
... • How is the response variable affected by changes in explanatory variable? We would like a numerical description of how both variables vary together. • Determine the significance of the explanatory variable in explaining the variability in the response (not necessarily causation). • Predict values ...
A Visual Query Language for Relational Knowledge Discovery
... [1::j ℄.) The annotation [0℄ on a vertex (or edge) indicates negation: to match the query, a database fragment must not contain the corresponding object (or link). A numeric annotation serves two purposes in a query. It groups together into one match repeated isomorphic substructures that would othe ...
... [1::j ℄.) The annotation [0℄ on a vertex (or edge) indicates negation: to match the query, a database fragment must not contain the corresponding object (or link). A numeric annotation serves two purposes in a query. It groups together into one match repeated isomorphic substructures that would othe ...
WFPC-2 Shutter-A Position Sensing Error Fault Isolation
... • Is the cause of this error a health and safety concern? In a nutshell the health and safety boils down to a question of whether the cause is electrical or mechanical. If mechanical there may be a health and safety concern but if electrical, probably not. The analysis will largely be driven by the ...
... • Is the cause of this error a health and safety concern? In a nutshell the health and safety boils down to a question of whether the cause is electrical or mechanical. If mechanical there may be a health and safety concern but if electrical, probably not. The analysis will largely be driven by the ...
STATS 331 Introduction to Bayesian Statistics Brendon J. Brewer
... Figure 1.1: An ad for the original version of this course (then called STATS 390), showing Wayne Stewart with two ventriloquist dolls (Tom Bayes and Freaky Frequentist), who would have debates about which approach to statistics is best. most popular: Microsoft Windows, Mac OS X and GNU/Linux. In pre ...
... Figure 1.1: An ad for the original version of this course (then called STATS 390), showing Wayne Stewart with two ventriloquist dolls (Tom Bayes and Freaky Frequentist), who would have debates about which approach to statistics is best. most popular: Microsoft Windows, Mac OS X and GNU/Linux. In pre ...
Why Models Fail Hugo Kubinyi
... “Activity landscapes are not continuous, they contain cliffs, like the Bryce Canyon” ...
... “Activity landscapes are not continuous, they contain cliffs, like the Bryce Canyon” ...
Matching a Distribution by Matching Quantiles
... regression which refers to the estimation for conditional quantile functions. See Koenker (2005), and references therein. It also differs from the unconditional quantile regression of Firpo et al. (2009) which deals with the estimation for the impact of explanatory variables on quantiles of the unco ...
... regression which refers to the estimation for conditional quantile functions. See Koenker (2005), and references therein. It also differs from the unconditional quantile regression of Firpo et al. (2009) which deals with the estimation for the impact of explanatory variables on quantiles of the unco ...