"Gini coefficient" Essays and Research Papers

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    Stress Management

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    Occup. Med. Vbl. 49‚ No. 7‚ pp. 451-467‚ 1999 Copyright O 1999 Upplncott Wimams 4 Wilklra for SOM Printed In Great Britain. All rights reserved 0962-7480/99 Study to evaluate the effectiveness of stress management workshops on response to general and occupational measures of stress R. J. L. Heron‚* S. McKeown‚11 J. A. Tomenson* and E. L. Teasdale* * Corporate Health & Safety‚ AstraZeneca; +Health Care Services‚ Cheadle Royal Hospital‚ Cheadle‚ Cheshire‚ UK; *Epidemiology Unit‚ ICI PLC‚ Northwich

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    Fama-French Model

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    C = S ⋅ N ( d1 ) − X ⋅ e − rt ⋅ N ( d 2 ) σ2 μ 2|1 = μ 2 + ρ ( z1 − μ1 ) σ1 Modeling Financial Markets with 45 40 35 30 25 20 15 10 5 0 120.00% Excel and VBA 100.00% 80.00% 51 60.00% 50.5 40.00% σ = ω ⋅ Ω ⋅ω 2 p 0 0. 02 0. 04 0. 06 0. 08 0. 1 -0 .1 -0 .0 8 -0 .0 6 -0 .0 4 -0 .0 2 Frequency Histogram Bin T 20.00% 50 0.00% 49.5 49 48.5 1 Ben Van Vliet May 9 ‚ 2011 13 25 37 49 61 73 85 97

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    Linear Models Examples

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    increments‚ the prices increase at an average rate of 4*$6‚377.185= $25‚508.74 every 4 years. (LR-5) Values of r2 and r: From the above line of best fit‚ we can see that the coefficient of determination r2= 0.9499. Since the slope of the regression line is positive r will be positive as well. Therefore the correlation coefficient r = √0.9499 = 0.97. We know that when r= 1‚ the correlation is considered a perfect positive correlation‚ and since our r= 0.97‚ it indicates that the linear relationship

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    INSTITUTE OF MANAGEMENT DEVELOPMENT AND RESEARCH (IMDR)‚ PUNE PGDM 2012-14 BATCH Mathematics & Statistics Sub :- Correlation and linear equation Submitted to: Submitted By: Prof. Abhijeet Shivane Astha Pathak(Roll No.-06) Piyush Bendre (Roll no – 08) Vivek Bisen ( Roll no.- 10) Introduction: India is the second largest onion growing country in the world

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    were 346 surveys by referring to Krejcie and Morgan table. Data has been collected using set of questionnaire. Convenient sampling technique was used. The data has been analyzed by determining their corresponding frequency‚ Pearson’s correlation coefficient‚ percentage and weighted mean. Cronbach’s Alpha was used to indicate how well the items in a set are positively correlated to one another and factorial validity was used in this study by submitting the data for factor analysis. There are 4 independents

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    P.‚ Iacovou‚ N.‚ Suchak‚ M.‚ Bergstrom‚ P.‚ & Riedl‚ J. (1994). GroupLens: an open architecture for collaborative filtering of netnews [13] Yanmin He‚ Tao Gan‚ Wufan Chen‚ & Houjun Wang. (2012). Multi-stage image denoising based on correlation coefficient matching and sparse dictionary pruning (January 2012)‚ 139-149. DOI=10.1016/j.sigpro.2011.06.014‚ ACM.

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    Business Decision Making

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    Contents TASK 3 4 Primary Research 4 Secondary research 5 Results 6 Introductory questions 6 Main questions 6 Final questions 8 Memo 9 Task 5 10 Correlation 10 Positive correlation 10 Negative correlation 10 No correlation 10 Strengths of correlations 11 Limitations of correlations 11 5 A + B. 11 5C. 12 5D. 13 5E. 13 5F. 13 Task 7A. 14 Total float 14 Free float 14 7B. 14 7C. 15 7D. 15 Reference: 16 Further Reading 16 TASK 3 Primary Research The main objective of the survey was to identify

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    Nill

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    International Review of Business Research Papers Vol. 5 No. 4 June 2009 Pp.270-279 The Impact Of Reward And Recognition Programs On Employee’s Motivation And Satisfaction: An Empirical Study Reena Ali1 and M.Shakil Ahmed2 Objective-This study highlighted “the impact of reward and recognition programs on employee’s motivation and satisfaction” Methodology-The study was conducted from October till December; 2008 the Sample chosen for the study is 80 employees of UNILEVER companies Results-The

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    4.9 [pic] (c) MAD (two-month moving average) = .075 MAD (three-month moving average) = .088 |Table for Problem 4.9 (a‚ b‚ c) | | | | |Forecast | ||Error| | | | |Two-Month |Three-Month |Two-Month |Three-Month | | |Price per |Moving

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    Descriptive Variables

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    descrip DESCRIPTIVES VARIABLES=StudentPreparationSP GPA FBT /STATISTICS=MEAN STDDEV MIN MAX KURTOSIS SKEWNESS. Descriptives Notes | Output Created | 14-NOV-2012 14:18:38 | Comments | | Input | Active Dataset | DataSet1 | | Filter | <none> | | Weight | <none> | | Split File | <none> | | N of Rows in Working Data File | 764 | Missing Value Handling | Definition of Missing | User defined missing values are treated as missing. | | Cases Used | All

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