Basic Statistics and Data Analysis

Lecture notes, MCQS of Statistics

Simulation is used before an existing system is altered or a new system built,

Statistical Simulation

Simulation is used before an existing system is altered or a new system built, to reduce the chances of failure to meet specifications, to eliminate unforeseen bottlenecks, to prevent under or over-utilization of resources and to optimize system performance. Models are simulated versions/results.
Simulation depends on unknown (or external/ impositions/ factors) parameters and statistical tools depends on estimates.

  • Simulation follows finite sample properties (have to specify n)
  • Reasoning of statistical simulation can’t be proofed mathematically)
  • Simulation is used to illustrate the things.
  • Simulation is used to check the validity of methods.
  • Simulation is a technique of representing the real world via computer program.
  • Simulation is act of initiating the behavior of some situation or some process by means of something suitably analogous. (especially for the purpose of study or some personal training)
  • A simulation is representation of something (usually in smaller scale).
  • Simulation is the art of giving false/artificial appearance.

Issues of simulations

  • What distribution do the random variable have
  • How do we generate these random variables for simulation
  • How do we analyze the output of simulations
  • How many simulation runs do we need
  • How do we improve the efficiency of simulation?


The Author

Muhammad Imdadullah

Student and Instructor of Statistics and business mathematics. Currently Ph.D. Scholar (Statistics), Bahauddin Zakariya University Multan. Like Applied Statistics and Mathematics and Statistical Computing. Statistical and Mathematical software used are: SAS, STATA, GRETL, EVIEWS, R, SPSS, VBA in MS-Excel. Like to use type-setting LaTeX for composing Articles, thesis etc.

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