Statistical Simulation Assignment Homework Help

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The team has helped a number of students in Statistical Simulation pursuing education through regular and online universities, institutes or online Tutoring in the following topics:

• Accept-reject algorithm
• Autocorrelation function
• Autocorrelation times, Histogram reweighting
• Basics of the interactive maxtrix language
• Bootstrapping
• Chebyshev's inequality
• Cluster updates and worm algorithms
• Computers and Computational Statistics
• Conditional probability
• Continuous Random Variables
• Control, efficiency, modular and object-oriented programming
• Data analysis
• Data manipulation and random data generation
• Detailed balance
• Discrete Random Variables
• distributions and Poisson process
• Dynamical point of view
• Estimating errors
• Evaluating integrals with random numbers
• Excel For Statistical Data Analysis
• Finding roots and optima
• Free energy calculations, Integration method, temperature, density, or other parameters
• Generating Continuous Random Variables
• Generating Discrete Random Variables
• Grand canonical, ensembles, MD in Canonical, NPT ensembles, etc
• Heat bath method, Convergence
• Importing/exporting data in SAS
• Integrals with random numbers
• Inverse transform method
• JavaScript E-labs Learning Objects
• Laws of large numbers
• Macro variables and processing
• Markov chain theory
• Matlab for simple modular programs
• Maximum Likelihood, Derivative Free Methods
• Metamodeling and the Goal seeking Problems
• Metropolis method
• Monte Carlo Markov chain
• Multicanonical, Simulated tempering
• NLS & DUD, NLS & DUD
• Nonlinear Least Squares
• Optimization: Newton-Raphson, simplex method, simulated annealing
• Path integral MC: Mapping to classical problem
• Poisson process
• Probabilistic Modeling
• Probability and Statistics Resources
• Programming Concepts: control, efficiency, modular and object-oriented programming
• Pseudorandom numbers
• Quasi-Newton Methods, Probability: random variables
• SAS Macros and simulations
• SAS working enviornment data steps
• Simulate random data using Matlab
• Simulating rare events using N-fold way
• Simulations in extended ensembles
• Starting Values -- Simplex, Maximum Likelihood Estimation
• Stochastic series expansion (SSE)
• The inverse transform method, rejection method ,Programming Concepts
• Time Series Analysis
• Umbrella sampling, Particle insertion
• Wang-Landau method
• Worm algorithm