# Probability, Statistics And Stochastic Process

Probability, Statistics and Stochastic process is a wide topic that consists of statistics, their measures etc and the stochastic processes involved with it. We have a specialized team of probability Statistics and Stochastic process experts who provide you with step-by-step solutions with online tutoring and help you understand the topic better. Take the help of our online tutors to gain better grades in your course and to perform the best in your projects and gain the best possible homework help with probability Statistics and Stochastic process.

 Axiomatic definition of probability Axioms of probability Basic structure of Markov chains Beye’s theorem Binomial distribution Central limit theorem Chebyshev’s theorem Chi-square Conditional expectations Confidence Intervals Continuous and discrete random process Correlation coefficients Curve fitting- Simple correlation and regression Data presentation Discrete and continuous random variables Distribution Elements of Stochastic processes Expectation Exponential distribution F-distribution First and Second order averaging Frequency distributions and their characteristics Functions of random variables Independence and relevance Independent Events Inventory and Stock Control Joint distribution Laws of large numbers Markov’s inequality Mathematical Methods of Inventory Moments and conditionals statistics Multinomial distribution Objective functions Point and interval estimation Point Estimation Practical stock systems Probability calculus Random variables Random walk Sampling distributions Sampling Distribution, Goodness of fit Second order processes Standard discrete and continuous distributions Stationary random process Test of Hypotheses regarding means, variance, and proportions Type of Systems Various associated costs Moment Generating function Absorption probabilities Brownian motion Continuous time Markov chains Queuing networks Limit theorems Limiting Probabilities Poisson and birth and death processes Regenerative Processes Renewal theory State dependent Markovian queues Uniformization Reliability Theory System Reliability and availability Discounting Group replacements Replacement and maintenance Simple Reliability models Quality Control: Control Charts Operating Characteristic and average runlength Single-Double and sequential plans Simulation: Generation of Variates from Standard distributions Monte Carlo Calculus and variance reduction techniques Analogue simulation of systems Generation of uniform variates