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Resources
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R1-Garcia, A. L. (2007). Probability, Statistics, and Random Processes for Electrical Engineering (3 rd Edition), Prentice Hall, United States.
R2-Hogg, R. V. & Tanis, E. A. (2000). Probability and Statistical Inference (4 th Edition), MacMillan, UK.
R3-Papoulis, A. & Pillai, S. U. (2002). Probability, Random Variables and Stochastic Processes (4 th Edition), McGraw Hill, Australia.
R4-Stark, H. & Woods, J. W. (2002). Probabiliy and Random Processes with Applications to Signal Processing (3 rd Edition), Prentice Hall, United States.
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Content
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Introduction to probability, sample space and event, compound event. probability axioms, finite probability space, finite co probability spaces conditional probability tree diagrams, Bayes Theorem, independence, repeated experiments, conditional probability axioms continuous and distribution and density function of discrete random variable, the mean and standard deviation values ??Moment concept, the relation between moments, torque function, Chebyshev inequality, law of large numbers of discrete distributions: Bernoulli, binomial, multinomial, geometric, Pascal Poisson and Hypergeometric distributions, continuous distributions: Uniform, exponential and normal distributions Gamma, Chi-square, student`s t and beta distributions bivariate discrete and continuous random variables conditional probability density function of covariance, correlation and correlation coefficient concept of sampling, statistical estimates, confidence intervals hypothesis tests estimate the strength test, bağımszılık test, to compliance test Regression analysis: linear regression, least squares method, multiple regression Analysis of variance
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