IEEE TRANSACTIONSON INDUSTRIAL ELECTRONICS‚VOL. 40‚ NO. 1‚ FEBRUARY 1993 Variable Structure Control: A Survey John Y. Hung‚ Member‚ IEEE‚ Weibing Gao‚ SeniorMember‚ IEEE‚ and James C. Hung‚ Fellow‚ IEEE Abstract-A tutorial account of variable structure control with brief discussions about its historical development are pre- sliding mode is presented in
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Independent Variables Dependent Variable Figure 2.1: Conceptual Framework (Source: Author‚ 2016) 2.3.1 Credit Information Sharing /Symmetry. CRBs are a typical response to information asymmetry problems between lenders and borrowers which is usually there between the lender and the borrower about the past repayment behavior and the current level of debt. Ekumah and Essel (2003) described information asymmetry as the condition in which relevant
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2-Variable Inequality Here is an example of a problem very similar to the one in the Week Three Assignment: Catskills Hammock Company can obtain at most 2000 yards of striped canvas for making its full size and chair size hammocks. A full size hammock requires 10 yards of canvas and the chair size requires 5 yards of canvas. Write an inequality that limits the number of striped hammocks of each type which can be made. (b) First I must define what variables I will be using in my inequality
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THE THIRD-VARIABLE PROBLEM Correlational data are frequently misinterpreted‚ especially when presented by newspaper reporters‚ talk-show hosts‚ or television newscasters. The Most common problem in interpreting correlations is Third-Variable Problem. A correlation simply indicates that there is a weak‚ moderate‚ or strong relationship (either positive or negative)‚ or no relationship‚ between two variables. When interpreting a correlation‚ it is also important to remember that although the correlation
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| Abstract The purpose of this report is to identify whether a relationship exists between macroeconomic variables and stock exchange returns in the Pakistani capital market. The techniques of multiple linear regression will be applied to understand if there is indeed a link between the two. The time series data being analyzed is on a monthly basis and spans from January 2003 to January 2009. The indicators taken as the independent variables are manufacturing production index‚ consumer price
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Date : _________________ Statistics 1 Laboratory Exercise No. 1 NATURE OF STATISTICS AND THE DIFFERENT TYPES OF VARIABLES A. Classify the following statements as belonging to the area of descriptive statistics or inferential statistics. Write DS for descriptive statistics and write IS for inferential statistics on the space provided. 1. Yesterday’s record shows that three (3) employees were absent due to Dengue fever. _________ 2. Based from the present enrollment trend‚ it is
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Identifying Dependent and Independent Variables Instructions: For each of the following research designs‚ identify the dependent and independent variables. 1. To investigate the effects of exercise on mathematical problem-solving ability‚ a researcher assigned subjects to one of two groups. One group did 50 jumping jacks and the other group did 200. After exercising‚ both groups did a set of math problems. 2. A researcher hypothesized that talking to plants enhances their growth. To test her hypothesis
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The Case of Variable Laminates Name Grantham University Abstract A plywood manufacturer has tasked me with finding a solution to their problem regarding the inconsistency of their laminate cutting process. In order to find out where the problem lies‚ I will use an experimental design. Experimental design is a formal plan that details the specifies for conducting an experiment‚ such as with responses‚ factors‚ levels‚ blocks‚ treatments and tools to be used (Sower‚ 2011‚ p. 155)
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Experiment 3: Solution Calorimetry: Thermodynamics of Potassium Nitrate II. Abstract A determination of thermodynamic variables of KNO3 is presented. KNO3 was heated and dissolved in varying volumes of distilled water. Upon dissolution‚ the KNO3 solution was removed from heat and the temperature was recorded once crystals formed. For each solution‚ ∆G the Ksp were found with the temperature and molarity values. ∆H and ∆S were found through the linearization of the data with
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Modelling 2 Week 3: Discrete Random Variables Stephen Bush Department of Mathematical Sciences MM2: Statistics - Week 3 - 1 Random Variables • Reference: Devore § 3.1 – 3.5 • Definitions: • An experiment is any process of obtaining one outcome where the outcome is uncertain. • A random variable is a numerical variable whose value can change from one replicate of the experiment to another. • Sample means and sample standard deviations are random variables • They are different from sample
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