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100 1 Mooney, Christopher Z.
245 10 Monte Carlo simulation /|cChristopher Z. Mooney.
260 Thousand Oaks, Calif. ;|aLondon :|bSage Publications,
|cc1997.
300 viii, 103 p. :|bill. ;|c22 cm.
490 1 Sage university papers series. Quantitative applications
in the social sciences ;|vno. 07-116
505 0 1. Introduction -- The Monte Carlo principle -- 2.
Generating individual samples from a pseudo-population --
Setting up a population generating computer algorithm --
Generating single random variables -- Generating
combinations of random variables -- 3. Using the pseudo-
population in Monte Carlo simulation -- An example of a
complete pseudo-population algorithm -- Generating a
vector of Monte Carlo estimates -- Generating multiple
experiments -- Which statistic is to be saved from a
trial? -- How many trials are needed? -- Evaluating Monte
Carlo estimates of sampling distributions -- 4. Using
Monte Carlo simulation in the social sciences -- Inference
when weak statistical theory exists for an estimator --
Testing a null hypothesis under a variety of plausible
conditions -- Assessing the quality of an inference method
-- Assessing the robustness of parametric inference to
assumption violations -- Comparing estimators' properties
-- 5. Conclusion.
650 0 Monte Carlo method.
830 0 Quantitative applications in the social sciences ;|v116.
