Probability, Statistics And Stochastic Process

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