
Non-Standard Parametric Statistical Inference
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This book discusses the fitting of parametric statistical models to data samples. Emphasis is placed on: (i) how to recognize situations where the problem is non-standard when parameter estimates behave unusually, and (ii) the use of parametric bootstrap resampling methods in analyzing such problems.A frequentist likelihood-based viewpoint is adopted, for which there is a well-established and very...
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This book discusses the fitting of parametric statistical models to data samples. Emphasis is placed on: (i) how to recognize situations where the problem is non-standard when parameter estimates behave unusually, and (ii) the use of parametric bootstrap resampling methods in analyzing such problems.A frequentist likelihood-based viewpoint is adopted, for which there is a well-established and very...
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