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Author Mooney, Christopher Z.
Title Monte Carlo simulation / Christopher Z. Mooney.
Publication Info Thousand Oaks, Calif. ; London : Sage Publications, c1997.


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Descript viii, 103 p. : ill. ; 22 cm.
Contents 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.
ISBN 9780803959439 (pbk.)
0803959435 (pbk.)
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Author Mooney, Christopher Z.
Series Sage university papers series. Quantitative applications in the social sciences ; no. 07-116
Quantitative applications in the social sciences ; 116.
Subject Monte Carlo method.
Descript viii, 103 p. : ill. ; 22 cm.
Contents 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.
ISBN 9780803959439 (pbk.)
0803959435 (pbk.)
Author Mooney, Christopher Z.
Series Sage university papers series. Quantitative applications in the social sciences ; no. 07-116
Quantitative applications in the social sciences ; 116.
Subject Monte Carlo method.
LOCATION SHELVED AT LOAN TYPE STATUS
 BJL 3rd Floor  QA 298 M8  8 WEEK LOAN  AVAILABLE

Subject Monte Carlo method.
Descript viii, 103 p. : ill. ; 22 cm.
Contents 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.
ISBN 9780803959439 (pbk.)
0803959435 (pbk.)
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