Intermediate Variable

2020 ◽  
pp. 1212-1212
Keyword(s):  
Intermediate Variable

Party System

2018 ◽  
Author(s):  
Zaad Mahmood
Keyword(s):  
Labour Market ◽  
Party System ◽  
Political Competition ◽  
Group Analysis ◽  
Party Competition ◽  
Market Reforms ◽  
Intermediate Variable ◽  
Labour Market Flexibility ◽  
Labour Market Reforms ◽  
The Impact

The chapter discusses the party system in the macro context of politics. It highlights the limitations of political party and interest group analysis without reference to the political competition that shapes behaviour in politics. The chapter discusses theoretically the impact of party system on labour market flexibility and proceeds to show the interrelation between party competition and the behaviour of political parties, composition of socio-economic support bases, and the behaviour of interest groups that influence reform. In the context of labour market flexibility, the party-system operates as an intermediate variable facilitating reforms. The chapter contradicts the conventional notion that party system fragmentation impedes reform by showing how increasing party competition corresponds to greater labour market reforms. It shows that increases in the number of parties, facilitates labour market reforms through marginalization of the issue of labour, realignment of class interests within broader society and fragmentation of trade union movement.

scholarly journals Finite-Time Adaptive Fuzzy Control for Nonlinear Systems with Unknown Backlash-Like Hysteresis

2021 ◽  
Author(s):  
Shuzhen Diao ◽  
Wei Sun ◽  
Le Wang ◽  
Jing Wu
Keyword(s):  
Fuzzy Control ◽  
Finite Time ◽  
Fuzzy Systems ◽  
Tracking Error ◽  
Adaptive Fuzzy Control ◽  
Finite Time Stability ◽  
Adaptive Fuzzy ◽  
Intermediate Variable ◽  
Control Scheme ◽  
Theoretical Results

AbstractThis study considers the tracking control problem of the nonstrict-feedback nonlinear system with unknown backlash-like hysteresis, and a finite-time adaptive fuzzy control scheme is developed to address this problem. More precisely, the fuzzy systems are employed to approximate the unknown nonlinearities, and the design difficulties caused by the nonlower triangular structure are also overcome by using the property of fuzzy systems. Besides, the effect of unknown hysteresis input is compensated by approximating an intermediate variable. With the aid of finite-time stability theory, the proposed control algorithm could guarantee that the tracking error converges to a smaller region. Finally, a simulation example is provided to further verify the above theoretical results.

Power Reserve Classification and Control for Peaking Balance with Intermittent Generation Grid

2014 ◽  
Vol 521 ◽  
pp. 252-255
Author(s):  
Jian Yuan Xu ◽  
Jia Jue Li ◽  
Jie Jun Zhang ◽  
Yu Zhu
Keyword(s):  
Real Time ◽  
Balance Control ◽  
Control Model ◽  
Intermediate Variable ◽  
Proposed Model ◽  
Grid Operators ◽  
Period Constant ◽  
Grid Operation ◽  
And Control ◽  
Time Reserve

The problem of intermittent generation peaking is highly concerned by the grid operator. To build control model for solving unbalance of peaking is great necessary. In this paper, we propose reserve classification control model which contain constant reserve control model with real-time reserve control model to guide the peaking balance of the grid with intermittent generation. The proposed model associate time-period constant reserve control model with real-time reserve control model to calculate, and use the peaking margin as intermediate variable. Therefore, the model solutions which are the capacity of reserve classification are obtained. The grid operators use the solution to achieve the peaking balance control. The proposed model was examined by real grid operation case, and the results of the case demonstrate the validity of the proposed model.

Bayesian sensitivity analysis for unmeasured confounding in causal mediation analysis

2017 ◽  
Vol 28 (2) ◽  
pp. 515-531 ◽  
Author(s):  
Lawrence C McCandless ◽  
Julian M Somers
Keyword(s):  
Sensitivity Analysis ◽  
Mediation Analysis ◽  
Indirect Effects ◽  
Direct And Indirect Effects ◽  
Unmeasured Confounding ◽  
Intermediate Variable ◽  
Causal Mediation ◽  
Important Concern ◽  
Analysis Technique ◽  
Causal Mediation Analysis

Causal mediation analysis techniques enable investigators to examine whether the effect of the exposure on an outcome is mediated by some intermediate variable. Motivated by a data example from epidemiology, we consider estimation of natural direct and indirect effects on a survival outcome. An important concern is bias from confounders that may be unmeasured. Estimating natural direct and indirect effects requires an elaborate series of assumptions in order to identify the target quantities. The analyst must carefully measure and adjust for important predictors of the exposure, mediator and outcome. Omitting important confounders may bias the results in a way that is difficult to predict. In recent years, several methods have been proposed to explore sensitivity to unmeasured confounding in mediation analysis. However, many of these methods limit complexity by relying on a handful of sensitivity parameters that are difficult to interpret, or alternatively, by assuming that specific patterns of unmeasured confounding are absent. Instead, we propose a simple Bayesian sensitivity analysis technique that is indexed by four bias parameters. Our method has the unique advantage that it is able to simultaneously assess unmeasured confounding in the mediator–outcome, exposure–outcome and exposure–mediator relationships. It is a natural Bayesian extension of the sensitivity analysis methodologies of VanderWeele, which have been widely used in the epidemiology literature. We present simulation findings, and additionally, we illustrate the method in an epidemiological study of mortality rates in criminal offenders from British Columbia.

Intermediate Variable

2013 ◽  
pp. 1094-1094
Author(s):  
Marie Boltz ◽  
Holly Rau ◽  
Paula Williams ◽  
Holly Rau ◽  
Paula Williams ◽  
...  
Keyword(s):  
Intermediate Variable

scholarly journals Causal mediation analysis with multiple causally non-ordered mediators

2015 ◽  
Vol 27 (1) ◽  
pp. 3-19 ◽  
Author(s):  
Masataka Taguri ◽  
John Featherstone ◽  
Jing Cheng
Keyword(s):  
Indirect Effect ◽  
Interactive Effect ◽  
Mediation Effect ◽  
Mediation Effects ◽  
Mediation Analyses ◽  
Intermediate Variable ◽  
Causal Mediation ◽  
Health Studies ◽  
Using Data ◽  
The Individual

In many health studies, researchers are interested in estimating the treatment effects on the outcome around and through an intermediate variable. Such causal mediation analyses aim to understand the mechanisms that explain the treatment effect. Although multiple mediators are often involved in real studies, most of the literature considered mediation analyses with one mediator at a time. In this article, we consider mediation analyses when there are causally non-ordered multiple mediators. Even if the mediators do not affect each other, the sum of two indirect effects through the two mediators considered separately may diverge from the joint natural indirect effect when there are additive interactions between the effects of the two mediators on the outcome. Therefore, we derive an equation for the joint natural indirect effect based on the individual mediation effects and their interactive effect, which helps us understand how the mediation effect works through the two mediators and relative contributions of the mediators and their interaction. We also discuss an extension for three mediators. The proposed method is illustrated using data from a randomized trial on the prevention of dental caries.

scholarly journals Application of Health Belief Model Theory on Prevention of Stunting in Toddlers Through Nutritional Behavior

2021 ◽  
Vol 5 (1) ◽  
pp. 27-34
Author(s):  
Detriana Imeriet Nenobais ◽  
Katmini Katmini
Keyword(s):  
Health Belief Model ◽  
Model Theory ◽  
Health Belief ◽  
Cross Sectional ◽  
Stunted Growth ◽  
Intermediate Variable ◽  
Perceived Benefit ◽  
Result Show ◽  
Belief Model ◽  
The Health Belief Model

Stunting is a chronic condition that describes stunted growth due to long-term malnutrition. Incidence of stunting is caused by not optimal nutrition. The purpose of this study in general was to find the effect of the Health Belief Model theory on effort to prevent stunting in toddlers through nutritional fulfillment behavior. The research is a quantitative study with an observational method and a cross sectional approach. The sample was 243 stunting mothers. The independent variables are perceived susceptibility, severity, barriers, cues to action, perceived benefit and self efficacy. Nutritional fulfillment behavior as an intermediate variable and stunting prevention as a dependent variable. The result show that simultaneously there was an effect of variabel X on Y with a significance value of 0,000 and a large effect of 10,2%. And simultaneously shows that there is an effect of variable X and Y of Z with a significance value of 0,000 and a large effect of 12,8%. Data analysis used path analysis. Simultaneousy, there is an effect of the application of Health belief model theory on effort to prevent stunting in toddlers through nutritional fulfillment behavior.

scholarly journals Social responsibility in the behavior of organizational citizenship on the basis of the organizational justice of employees at the University of Al-Aqsa variable mediator: المسؤولية الاجتماعية في سلوك المواطنة التنظيمية على اعتبار العدالة التنظيمية لدى العاملين في جامعة الأقصى متغير وسيط

2019 ◽  
Vol 3 (9) ◽  
Author(s):  
Ayman Hassan Al-derawi
Keyword(s):  
Social Responsibility ◽  
Organizational Justice ◽  
Organizational Citizenship ◽  
Organizational Citizenship Behavior ◽  
Gaza Strip ◽  
Citizenship Behavior ◽  
Intermediate Variable ◽  
Research Findings ◽  
The Gaza Strip ◽  
The University

The aim of the study is to examine the relationship between social responsibility and the behavior of organizational citizenship in the employees of Al-Aqsa University, taking into account the need of Al-Aqsa University to create a state of organizational justice as an intermediate variable. The descriptive analytical method was used by applying the random sampling method of 175 individuals from a community of 320 administrative staff working at Al-Aqsa University in the Gaza Strip. Among the most important results of the Research findings was a positive correlation between all dimensions of social responsibility (training, development, human rights, health and public safety, balance between work and life and diversity in the work environment) and the organizational citizenship behavior of Al-Aqsa University employees. Social responsibility and organizational citizenship behavior. The most important recommendations are: to increase the awareness of management and employees of the importance of social responsibility as a means of achieving the university's organizational justice.  

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