entities. Our research is to study the importance of variables and their significance regarding the audit in explaining the reactions of stock price movements (fluctuations). In this study we have applied discriminant analysis and logit models. Discriminant analysis and logit were performed with type of opinion as the dependent variable and eleven financial ratios as independent variables. Test results show that the audit quality‚ the auditor ’s opinion have an impact on the evolution of stock prices
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_____ 1. What is mean‚ variance and expectations? Mean - The mean of a discrete random variable X is a weighted average of the possible values that the random variable can take. Unlike the sample mean of a group of observations‚ which gives each observation equal weight‚ the mean of a random variable weights each outcome xi according to its probability‚ pi. The mean also of a random variable provides the long-run average of the variable‚ or the expected average outcome over many observations
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Introduction Through the different stages of civilizations man always tried to look for ways to make their work and life easier. Man was never satisfied‚ so the concept of automation was applied to give solutions to different problems from the different fields of Agriculture‚ Industry‚ Academic and much more. Most of the companies or institutions nowadays are implementing automated techniques and processes to meet their growing needs‚ and it can be best defined by widely used of computers
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repayment behavior of farmers that received loan from agricultural bank by using a logit model and a cross sectional data of 175 farmers of Khorasan-Razavi province in 2008. Results showed that loan interest rate is the most important factor affecting on repayment of agricultural loans. Farming experience and total application costs are the next factors‚ respectively. Keywords: credit‚ agricultural bank‚ marginal effect‚ Logit model Introduction Agricultural lending involves giving out of credit (in cash
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Submitted By: Poulomi Pal 2012PGP078 Sukshit Kapur 2012PGP097 Mohit Dhami 2012PGP070 Ujjwal Shankar 2012PGP103 Vineet Jain 2012PGP061 Assumptions for the Assignment: We have clubbed the fatalities and non-injuries in the MAX_SEV_IR into a single category i.e. 0 because we are interested in the class of injury. We have included every predictor for running the different models except in case of tree where we ran random forest first and then ran tree. In doing so we zeroed upon
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Academic Performance: A Comparison Between Chinese and Other International Students‚" Journal of Studies in International Education. 131. 8. William E. Becker Jr.‚ Kang H. Park‚ Peter M. Kerr (1990)‚ "Determinants of Academic Performance: a Multinomial Logit Approach‚" Journal of Economic Education‚ Vol. 21 132 133. August 31‚ 2012 - 3:00am 134
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Diff. kinds of App. Software Word Processing software - Use this kind of tool to create worksheets‚ type letters‚ type papers‚ etc. Desktop Publishing software - Use this software to make signs‚ banners‚ greeting cards‚ illustrative worksheets‚ newsletters‚ etc. Spreadsheet software - Use this kind of tool to compute number-intensive problems such as budgeting‚ forecasting‚ etc. A spreadsheet will plot nice graphs very easily. Database software - Use this software to store data such as address
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forecasting for banking institutions. From a theoretical point of view‚ this research paper introduces a literature review on the application of back propagation algorithm of an artificial neural network‚ linear probability model‚ and binary choice (logit probit) model for credit risk management. Whereas‚ from an empirical point of view‚ this research compares the econometric models and artificial neural network using Mongolian banks’ credit risk data‚ and shows the differences between the aforementioned
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then the model was tested for efficacy on a holdout data of 2300 records. It was found the Regression and Logit (customer choice model) were most effective while RFM model failed to given any leverage above the random mailing campaign that BBC employed prior to testing marketing models. My recommendation to BBC would be invest time and money to develop in-house marketing model based on Logit regression as it is most effective and is closest to the observed behaviour of consumers. Marketing Models
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Consumer economics 2. Decision to vote Logistic Regression Probit Regression Ordinal 1. Opinion survey 2. Rating systems Ordered Logistic Regression Ordered Probit Regression Nominal 1. Occupation choice 2. Blood type Multinomial Logistic Regression Count 1. Consumer demand 2. Health demand Poisson Regression Negative Binomial Regression Logistic Regression Cancer or not ? Answer depends on: • What is the age of the person
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