Particulate pollution was a critical challenge to the promise of good air quality during the 2008 Beijing Olympic Games,which took place from August 8th to *** ensure good air quality for the Games,several temporary e...
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Particulate pollution was a critical challenge to the promise of good air quality during the 2008 Beijing Olympic Games,which took place from August 8th to *** ensure good air quality for the Games,several temporary emission control measures were implemented in Beijing and surrounding *** particulate matter concentration decreased significantly during the Olympic period;however,it is difficult to distinguish the effectiveness of those control measures since meteorology also affects ambient PM_(2.5) *** this work,a multiple linear regression model based on continuous field monitoring at a roadside site was conducted to evaluate the effects of meteorology and emission control measures on the reduction of PM_(2.5) during the 2008 Olympic *** hourly data set was divided into two time periods,the no control period,June 22nd to July 4th,and the control period,July 28th to August *** response variable was PM_(2.5) and the meteorology covariates used in the model were hourly temperature,dew point temperature,wind speed and *** direction was not a significant predictor of PM_(2.5) levels in either the control or the no control *** the meteorologically-based regression coefficients from the two time periods,meteorology was found to contribute to at least a 16%reduction in PM_(2.5) levels in the roadside microenvironment;while the pollution control measures contributed to at least a 43%reduction in PM_(2.5) levels.
Following some biographical information on Jerzy K. Baksalary (1944–2005) and some comments by Tadeusz Caliński, Oskar Maria Baksalary, and Image Editors-in-Chief: Bryan L. Shader and Hans Joachim Werner, this artic...
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Following some biographical information on Jerzy K. Baksalary (1944–2005) and some comments by Tadeusz Caliński, Oskar Maria Baksalary, and Image Editors-in-Chief: Bryan L. Shader and Hans Joachim Werner, this article continues with personal remarks on the life and publications of Jerzy K. Baksalary by R. William Farebrother, Jürgen Groß, Jan Hauke, Radosław Kala, Erkki Liski, Xiaoji Liu, Augustyn Markiewicz, Wiesław Migdałek, Friedrich Pukelsheim, Tarmo Pukkila, Simo Puntanen, C. Radhakrishna Rao, George P.H. Styan, Tomasz Szulc, Yongge Tian, Götz Trenkler, Júlia Volaufová, Haruo Yanai, and Fuzhen Zhang. These remarks are followed by a detailed list of, and some comments on, Jerzy Baksalary’s publications prepared by the editors of this article. Four photographs of Jerzy Baksalary illustrate the article, with three of these also including some of his coauthors, colleagues, and Ph.D. students. [Copyright &y& Elsevier]
This article considers the problem of modeling sustained educational change via the use of dynamic multipliers applied to panel data. Dynamic multipliers arise from the incorporation of lagged endogenous variables in ...
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This article considers the problem of modeling sustained educational change via the use of dynamic multipliers applied to panel data. Dynamic multipliers arise from the incorporation of lagged endogenous variables in linearmodels. Three types of dynamic multipliers can be defined: (a) the impact multiplier, (b) interim multipliers, and (c) the long-run equilibrium multiplier. An impact multiplier gives the effect of a unit increase in an exogenous variable on an endogenous variable in the particular sample period. An interim multiplier gives the effect of a unit increase in an exogenous variable on an endogenous variable when that effect is sustained for a specified amount of time. A long-run equilibrium multiplier gives the effect of a unit increase in an exogenous variable on an endogenous variable when sustained into the indefinite future. This article seeks to develop and advocate dynamic multiplier analysis for education research. Extensions to multivariate dynamic linearmodels and multilevel linearmodels are provided. Three examples are presented to illustrate the methodology. The article closes with a discussion of the implications of dynamic multiplier analysis for education policy analysis.
Since the mathematical programming approach was proposed to solve discriminant analysis problems, a number of anomalies with this technique have been identified and remedied. However, the existence of alternative or m...
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Since the mathematical programming approach was proposed to solve discriminant analysis problems, a number of anomalies with this technique have been identified and remedied. However, the existence of alternative or multiple discriminant vectors and their impact has not been fully addressed. This article examines the significance of alternative discriminant vectors in LP models, characterizes the conditions under which they are generated, and proposes a regularization method to eliminate this undesirable outcome.
A major problem of LP discriminant analysis is the validity of the solution. This note shows that to comprehend the effectiveness of the solution, conditions for unacceptable solutions need to be tightly chatacterized.
A major problem of LP discriminant analysis is the validity of the solution. This note shows that to comprehend the effectiveness of the solution, conditions for unacceptable solutions need to be tightly chatacterized.
Characterization of unacceptable solutions of linear programming methods for linear discriminant problems have been studied by many researchers. This note shows that a recent correction was not a correction but a tigh...
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Characterization of unacceptable solutions of linear programming methods for linear discriminant problems have been studied by many researchers. This note shows that a recent correction was not a correction but a tightening of prior results.
Three heuristic procedures for the two group discriminant problem are developed that minimize the total expected cost of misclassification in the training sample. The approach is shown through a systematic experiment ...
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Three heuristic procedures for the two group discriminant problem are developed that minimize the total expected cost of misclassification in the training sample. The approach is shown through a systematic experiment to generate near optimal solutions and to be efficient in terms of computational effort when compared to existing research.
作者：
XIAO, BCSETON HALL UNIV
W PAUL STILLMAN SCH BUSINESSDEPT COMP & DECIS SCIS ORANGENJ 07079 USA
Characterization of unacceptable solutions for linear programming (LP) discriminant models have been discussed in the literature and the results presented so fat are not satisfactory. This paper establishes necessary ...
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Characterization of unacceptable solutions for linear programming (LP) discriminant models have been discussed in the literature and the results presented so fat are not satisfactory. This paper establishes necessary and sufficient conditions of unacceptable solutions for a number of LP models, addresses the practical implications of these conditions, and discusses the relationship between unacceptable solutions and multiple solutions.
Communications in Statistics - Theory and Methods Corrigendum
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