Theory and Applications of Statistical Inference Functions von Berger, J, Fienberg, S, Gani, J

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Designing the future: A simple algorithm for sequential design of a generalized linear model von McLeish, D.L.

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A projected likelihood function for semiparametric models von McLEISH, D. L., SMALL, CHRISTOPHER G.

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Projection as a method for increasing sensitivity and eliminating nuisance parameters von SMALL, CHRISTOPHER G., MCLEISH, D. L.

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Dependent Central Limit Theorems and Invariance Principles von McLeish, D. L.

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A Maximal Inequality and Dependent Strong Laws von McLeish, D. L.

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On the Invariance Principle for Nonstationary Mixingales von McLeish, D. L.

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Fitting linear regression models to censored data by least squares and maximum likelihood methods von Chatterjee, S., McLeish, D.L.

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Generalizations of Ancillarity, Completeness and Sufficiency in an Inference Function Space von Small, Christopher G., McLeish, D. L.

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The information in aggregate data from Markov chains von LAWLESS, J. F., McLEISH, D. L.

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The Theory and Applications of Statistical Interference Functions von McLeish, D. L, Small, Christopher G

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Likelihood methods for the discrimination problem von McLEISH, D. L., SMALL, CHRISTOPHER G.

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An Extended Martingale Invariance Principle von McLeish, D. L.

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The Expected Ratio of the Sum of Squares to the Square of the Sum von McLeish, D. L., O'Brien, G. L.

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A note on non-parametric censored regression von Mc Leish, D. L.

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Sequential Designs in Bioassay von McLeish, D. L., Tosh, D.

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A calibration algorithm for simulation-based pricing models von Reesor, R. Mark, McLeish, Don L.

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Sensitivity analysis and the “what if” problem in simulation analysis von Arsham, H., Feuerverger, A., McLeish, D.L., Kreimer, J., Rubinstein, R.Y.

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Highs and lows: Some properties of the extremes of a diffusion and applications in finance von Mcleish, Donald L.

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Functional and random central limit theorems for the Robbins-Munro process von McLeish, D. L.

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