financial reform. Data Envelopment Analysis based frontier measures income and cost efficiency and traditional non-frontier measures non-performing loans and return on assets have been used for assessing bank performance. The findings indicate that income and cost efficiency of sample banks have increased by 37.84 percent and 15.28 percent respectively in 2008 compared to 2001. Similarly, non-performing loans and return on assets also report improvement in bank performance. The results generated by
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Chapter# 8 Exercises: 1.a: Matched Pairs are more appropriate. Measures are repeated over time 1.b: The matched pairs report for June 1999- March 1999 shows a difference as seen below of 0.05: [pic] [pic] 1.c: The matched pairs reports for Aug-June and Aug-March show no significant differences: [pic] 2-a The grouped means method would not be the appropriate test since statistical assumptions for the t test for groups are not satisfied with correlated data. The difference can be
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model. For the categorical variables such as marital, eservice, plusservice and totalservice we use the log-rank test of equality across strata which is a non-parametric test. For the continuous variables such as age, address, income, education, employment, and reside we use a univariate Cox proportional hazard regression which is a semi-parametric model. Univariate analysis We consider the Chi-squared test for age, address, income, education, and employ. All the variables have p-values of 0.0000
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Broad-band continuous-wave parametric wavelength conversion in silicon nanowaveguides Mark A. Foster1 , Amy C. Turner2 , Reza Salem1 , Michal Lipson2 , and Alexander L. Gaeta1 1 School 2 School of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853 of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853 alg3@cornell.edu Abstract: We demonstrate highly broad-band frequency conversion via four-wave mixing in silicon nanowaveguides. Through appropriate
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prefixed goals. Many efforts have been made in this field to provide satisfactory answer to this problem. One of the most used methodologies is the Data Envelopment Analysis (DEA) that has been in many fields. The DEA technique is a useful is non-parametric method that allow to handle many output and input at the same time. In many real world applications, input and output data cannot be precisely measured. Imprecision (or approximation) and vagueness may be originated from indirect measurements
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normal) are described. Application of these models to confidence interval estimation and parametric hypothesis testing are also described, including two-sample situations when the purpose is to compare two (or more) populations with respect to their means or variances. (2) Non-parametric inference tests are also described in cases where the data sample distribution is not compatible with standard parametric distributions. (3) Resampling methods using many randomly computer-generated samples are finally
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UNIT – 1 1. Differentiate between Research & Research methodology. What are the various types of Research? 2. Discuss with examples, the nature of a good & effective research. 3. Discuss with examples, the qualitative & quantitative approaches in Research. 4. Discuss the scope & importance of research. UNIT – 2 5. Discuss the need & importance of Research design. What are the features of good research design? Discuss the basic principles in
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MP A R Munich Personal RePEc Archive Measurement of Efficiency of Banks in India Varadi, Vijay Kumar, Mavaluri, Pradeep Kumar and Boppana, Nagarjuna University of Hyderabad, India August 2006 Online at http://mpra.ub.uni-muenchen.de/17350/ MPRA Paper No. 17350, posted 17. September 2009 / 09:11 Measurement of Efficiency of Banks in India 1 - Varadi Vijay Kumar , - Mavaluri Pradeep2 - Boppana Nagarjuna 3 Introduction: The opening up of the financial sector in 1990
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UNIVERSITY OF GHANA DEPARTMENT OF PSYCHOLOGY PROPOSED TOPIC: THE INFLUENCE OF PARENTING STYLES ON ASSERTIVENESS NAME:
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CASESTUDY 3. CLUSTER SAMPLING 4. CONVENIENCE SAMPLING 5. DESCRIPTIVE RESEARCH 6. DESCRIPTIVE DATA 7. EXPLORATORY RESEARCH 8. FOLLOW-UP 9. LONGITUDINAL STUDY 10. NON PARAMETRIC STATISTIC 11. NON-PROBABILITY SAMPLING 12. PARAMETRIC STATISTIC 13. POPULATION 14. PILOT TEST 15. PURPOSIVE SAMPLING 16. PROBABILITY SAMPLING 17. QUOTA SAMPLING 18. RESEARCH ETHICS 19. RESEARCH OBJECTIVES 20. SAMPLING
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