scholarly journals Induction Variable Analysis with Delayed Abstractions

2005 ◽  
pp. 218-232 ◽  
Author(s):  
Sebastian Pop ◽  
Albert Cohen ◽  
Georges-André Silber
Keyword(s):  
Variable Analysis

Control of Volumetric Properties of Hot-Mix Asphalt by Field Management

1996 ◽  
Vol 1543 (1) ◽  
pp. 125-131
Author(s):  
Prithvi S. Kandhal ◽  
Kee Y. Foo ◽  
John A. D'Angelo
Keyword(s):  
Hot Mix Asphalt ◽  
Linear Regression Analysis ◽  
Volumetric Properties ◽  
Production Test ◽  
Independent Variables ◽  
Dependent Variables ◽  
Preceding Work ◽  
Multiple Variable ◽  
Asphalt Content ◽  
Variable Analysis

Significant differences in the volumetric properties of laboratory-designed and plant-produced hot-mix asphalt (HMA) generally exist as demonstrated by FHWA Demonstration Project No. 74. The volumetric properties include voids in the mineral aggregate (VMA) and voids in the total mix (VTM). Guidelines for HMA contractors are needed to reconcile these differences and maintain control of volumetric properties during HMA production. The HMA mix design and field production test data (such as asphalt content, gradation, and volumetric properties) from 24 FHWA demonstration projects were entered into a data base and statistically analyzed. The objective was to identify and, if possible, quantify the independent variables (such as asphalt content and the percentages of material passing the No. 200 and other sieves) that significantly affect dependent variables VMA and VTM. The statistical analysis methods consisted of correlation analysis, stepwise multiple-variable analysis, and linear-regression analysis. On the basis of preceding work, guidelines have been developed for HMA contractors to reconcile the differences between the volumetric properties of the job mix formula and the produced HMA mix.

STATE-VARIABLE ANALYSIS OF A CHOPPER FED SEPARATELY EXCITED DC MOTOR

1983 ◽  
Vol 8 (1) ◽  
pp. 45-55 ◽  
Author(s):  
S. N. SINGH ◽  
D. R. KOHLI
Keyword(s):  
Dc Motor ◽  
State Variable ◽  
Variable Analysis

Internal Governance and Corporate Fraud

2021 ◽  
pp. 0148558X2098738
Author(s):  
Jongmoo Jay Choi ◽  
Yuanzhi Li ◽  
Oded Shenkar ◽  
Jian Zhang
Keyword(s):  
Fixed Effects ◽  
Cost Benefit ◽  
Supporting Evidence ◽  
Matched Sample ◽  
Corporate Fraud ◽  
Internal Governance ◽  
Negative Relation ◽  
Collective Activity ◽  
Ceo Pay ◽  
Variable Analysis

This article examines whether internal governance in the form of managerial dissent between the CEO and subordinate executives reduces fraud likelihood. We model fraud as a rational decision in a cost–benefit framework and a collective activity by all executives. The model predicts a negative relation between dissent and fraud occurrence. We use three measures for higher dissent: a larger fraction of subordinates having joined the firm prior to the CEO, a lower CEO pay slice, and a smaller difference in pay performance sensitivity between the two; and find supporting evidence. We address endogeneity concerns by including firm-fixed effects, constructing a propensity score–matched sample, and conducting instrument variable analysis. We also find that fraud duration is negatively related to dissent.

Defining the envelope of linguistic variation: The case of “don't count” forms in the copula analysis of African American Vernacular English

1997 ◽  
Vol 9 (1) ◽  
pp. 57-79 ◽  
Author(s):  
Renée Blake
Keyword(s):  
African American ◽  
African American Vernacular English ◽  
Linguistic Variation ◽  
Final Position ◽  
Vernacular English ◽  
Quantitative Analyses ◽  
American Vernacular ◽  
Variable Analysis

ABSTRACTEver since Labov, Cohen, Robbins, and Lewis's (1968) pioneering study, it has been commonplace to set aside certain tokens in analyzing variability in the English copula as “don't count” (DC) forms. These cases are most often occurrences of the copula that exhibit categorical behavior (as with the full copula in clause-final position), as well as those that are ambiguous or indeterminate. In this article, I propose a set of copula forms that should be set aside from variable analysis as instances of DC forms to allow for systematic comparisons among studies. I review the major alternative descriptions of DC copula cases in the literature and analyze the behavior of the traditional DC categories. New data are presented to support the exclusion of particular DC cases from analyses of copula variability. Among the conclusions are that [was], [thas], and [is] should be excluded from quantitative analyses of variation in the copula because of their invariant status, and that a number of tokens commonly included (e.g., questions) should be excluded on various grounds.

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