DEA Tutorial Abstract Data envelopment analysis (DEA) is a linear programming based technique for measuring the relative performance of organisational units where the presence of multiple inputs and outputs makes comparisons difficult. This tutorial paper introduces the technique and uses an example to show how relative efficiencies can be determined and targets for inefficient units set. The paper also considers a number of practical issues of concern in applying the technique. Introduction
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3.8 Reliability and validity Reliability is the extent to which a measurement of a phenomenon gives a stable and consistent results (Carmines and Zeller 1979). Moser and Kalton (1989: 353) define reliability as ‘a scale or test is said to be reliable to the extent that repeat measurements made by it under constant conditions will give the same result. Yin (1994) describes it as ‘demonstrating that the operations of a case study – such as the data collection procedures can be repeated, using the
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accurate results. In performing the experiment, the measurements for Zinc Sulfate and Barium Iodide did not deviate from the standard to be measured by more than 0.03g (as was indicated for precision in the lab manual). Each time we went through the centrifuge process, the same centrifuge machine was used. To make sure our boiling tube did not contain any remnants of zinc iodide from previous experiments to mess with our end results and measurements, we washed it out twice with tube cleaners and soap
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EXPERIMENT 1 UNCERTAINTY AND ERROR ANALYSIS INTRODUCTION Physics is a field of Science, which is quantitative in nature. The purpose of doing experiments in Physics is mainly to collect and analyze the data. In all measurements, there is always some uncertainty associated with the values. The uncertainty may be because of systematic errors or random errors or both. The errors in a particular experiment may be due to the observer, or to the instrument used, or to a combination
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6. CHARACTERIZATION AND EVALUATION OF PROPOFOL MICROEMULSION 6.1CHARACTERIZATION OF MICROEMULSION 6.1.1 PARTICLE SIZE The particle size characterisation of microemulsion was performed to obtain information about the main particle size of the systems, particle size distribution and about changes over time [54-55]. Particle size is the most important characteristics of microemulsion system. It influences the drug loading, drug release, and stability of microemulsion. Drug release is affected by particle
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P3, M2 1. Pulse Rate It’s the rate per minutes at which your heart beat. It can be felt wherever an artery crosses a bone such as the wrist, the neck or either side of the windpipe, temple and the upper surface of the foot. It can be measured by pressing lightly against the artery wall with 2 or 3 fingers, apart from the thumb as this has a pulse of its own. Count the number of beats in a set of period and multiply the correct multiple to make up 60s or count for 30s and multiply by 2. In order
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customers’ overall evaluation of its market. A sector CSI is an overall evaluation of that sector, and the national CSI gauges the national total consumption experience Customer satisfaction Index (CSI) represents a new type of customer-based measurement system for evaluating and enhancing the performance of companies, industries, economic sectors and national economics. It is designed to be representative of the economy as a whole and covers many companies over various types of industries in the
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significant considerable investigation of the indusindustry’s tries leading competitorsprospects that would be considered “design centric” companies, what Chuck discovered is that many of the organizations, including those the ones that operate on a global scale, many faced the same or similar situation as he did; they were all in need of a system that could forecast profitability based on design. This system would require a “metric-based approach” designedd , to capture “objective evidence” that would
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significant considerable investigation of the indusindustry’s tries leading competitorsprospects that would be considered “design centric” companies, what Chuck discovered is that many of the organizations, including those the ones that operate on a global scale, many faced the same or similar situation as he did; they were all in need of a system that could forecast profitability based on design. This system would require a “metric-based approach” designedd , to capture “objective evidence” that would
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http://www.labcompliance.com/tutorial/methods/default.aspx?sm=d_d TutorialHome | Contact Us | Newsletter | Usersclub | Books | Audio Seminars Seminars Audio Seminars Video Seminars Workshops Literature Books SOPs Validation Examples Free Literature Glossary Usersclub Intro Log-in Register Preview Renewal Tutorials Risk Management Practices Computer Validation Part11 Method Validation ISO 17025 Lab Equipment Qualification Good Laboratory Practices About About Labcompliance
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