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