a) Calculate the posterior probabilities P (State = Oil | Finding = USS) and P (State = Dry | Finding = USS), ifthe founding of the seismic survey is unfavorable seismic soundings (USS), by using Bayes" theorem. b) Calculate the posterior probabilities P (State = Oil | Finding = FSS) and P (State = Dry | Finding = FSS), if the seismie survey gives favorable seismic soundings (FSS), by using Bayes' theorem. c) Draw the probability tree diagram for the full problem by showing all the probabilities leading to the calculation of each posterior probability of the state of nature given the finding of the seismic survey. d) Calculate the expected payoffs and determine the optimal action if finding is USS. c) Calculate the expected payoffs and determine the optimal action if finding is FSS. f) Calculate the expected value of perfect information (EVPI). According to the result, determine if to proceed with the seismic survey is worthwhile. g) Calculate the expected value of experimentation (EVE). According to the result, determine if to proceed with the seismic survey is worthwhile.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
course name : stochastic models
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