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1

Chu, Chia-Shang J. The moving-estimates test for parameter stability. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1993.

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2

McAvinchey, Ian D. Income effects on mortality rates: Estimates from a varying parameter model. Aberdeen: University of Aberdeen. Department of Economics, 1987.

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3

Morelli, Eugene A. Determining the accuracy of maximum likelihood parameter estimates with colored residuals. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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4

Parekh, Namita. Validity and efficiency of parameter estimates in frequency matched case-control studies. Ottawa: National Library of Canada, 1999.

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5

Glas, Cees A. W. Alternative approaches to updating item parameter estimates in tests with item cloning. Newtown, PA: Law School Admission Council, 2006.

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6

Chu, Chia-Shang J. A moving-estimates test for parameter stability and its boundary-crossing probability. Champaign: University of Illinois at Urbana-Champaign, 1992.

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7

Ackerman, Terry A. The use of unidimensional item parameter estimates of multidimensional items in adaptive testing. Iowa City, Iowa: American College Testing Program, 1988.

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8

Seber, G. A. F. The estimation of animal abundance and related parameters. 2nd ed. London: Edward Arnold, 1994.

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9

Hanson, Bradley A. Method of moments estimates for the four-parameter beta compound binomial model and the calculation of classification consistency indexes. Iowa City, Iowa: American College Testing Program, 1991.

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10

Durham, J. Benson. Jump-diffusion processes and affine term structure models: Additional closed-form approximate solutions, distributional assumptions for jumps, and parameter estimates. Washington, D.C: Federal Reserve Board, 2005.

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11

Mizell, Lee. Nonresident father involvement: Do mothers and fathers see eye-to-eye? : an investigation of the impact of reporting discrepancies on parameter estimates. Santa Monica, CA: Rand, 2002.

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12

Matasov, A. I. Estimators for uncertain dynamic systems. Dordrecht: Kluwer Academic Publishers, 1998.

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13

Paul, Pare, ed. Aquifer parameter estimator: Problems and solutions. Highlands Ranch, Colo., USA: Water Resources Publications, 1995.

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14

Grender, Julie Myers. Theory and derivation for Weibull parameter probability weighted moment estimators. New Orleans, La: U.S. Dept. of Agriculture, Forest Service, Southern Forest Experiment Station, 1990.

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15

Chen, S. A recursive prediction error parameter estimator for nonlinear models. Sheffield: University of Sheffield, Dept. of Control Engineering, 1988.

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16

Paul, Pare, and Kasenow Michael, eds. APE hydrogeologic toolbox: Update, Aquifer parameter estimator version 4.1. Highlands Ranch, Colo: Water Resources Publications, 1997.

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17

Houston, Walter M. Empirical Bayes estimates of parameters from the logistic regression model. Iowa City, Iowa: ACT, Inc., 1997.

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18

Houston, Walter M. Empirical Bayes estimates of parameters from the logistic regression model. Iowa City, Iowa: ACT, Inc., 1997.

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19

Kurt, Hoffmann. Improved estimation of distribution parameters: Stein-type estimators. Stuttgart: B.G. Teubner, 1992.

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20

Leemis, Lawrence M. A comparison of approximate interval estimators for the Bernoulli parameter. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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21

Moek, G. Approximate confidence regions for the parameters of three software reliability models. Amsterdam: National Aerospace Laboratory, 1987.

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22

Weiss, Linda S. Investigation of techniques to estimate rainfall-loss parameters for Illinois. Urbana, Ill: Dept. of the Interior, U.S. Geological Survey, 1987.

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23

Weiss, Linda S. Investigation of techniques to estimate rainfall-loss parameters for Illinois. Urbana, Ill: Dept. of the Interior, U.S. Geological Survey, 1987.

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24

Weiss, Linda S. Investigation of techniques to estimate rainfall-loss parameters for Illinois. Urbana, Ill: Dept. of the Interior, U.S. Geological Survey, 1987.

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25

Hoff, J. C. Initial evaluation of the modified stepwise regression procedure to estimate aircraft stability and control parameters from flight test data. Cranfield, Bedford, England\: Cranfield University, College of Aeronautics, 1993.

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26

Morelli, Eugene A. Determining the accuracy of aerodynamic model parameters estimated from flight test data. Washington, D.C: American Institute of Aeronautics and Astronautics, 1995.

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27

Morelli, Eugene A. Determining the accuracy of aerodynamic model parameters estimated from flight test data. Washington, D.C: American Institute of Aeronautics and Astronautics, 1995.

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28

Morelli, Eugene A. Determining the accuracy of aerodynamic model parameters estimated from flight test data. Washington, D.C: American Institute of Aeronautics and Astronautics, 1995.

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29

Iliff, Kenneth W. Extraction of lateral-directional stability and control derivatives for the basic F-18 aircraft at high angles of attack. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1997.

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30

Iliff, Kenneth W. Extraction of lateral-directional stability and control derivatives for the basic F-18 aircraft at high angles of attack. [Washington, D.C]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program Center, 1997.

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31

Iliff, Kenneth W. Extraction of lateral-directional stability and control derivatives for the basic F-18 aircraft at high angles of attack. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1997.

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32

Iliff, Kenneth W. Extraction of lateral-directional stability and control derivatives for the basic F-18 aircraft at high angles of attack. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1997.

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33

Iliff, Kenneth W. Extraction of lateral-directional stability and control derivatives for the basic F-18 aircraft at high angles of attack. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1997.

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34

Horrigan, Timothy. Estimated snow parameters for vehicle mobility modeling in Korea, Germany and interior Alaska. [Hanover, N.H.]: US Army Corps of Engineers, Cold Regions Research & Engineering Laboratory, 1995.

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35

Hammell, Larry. The relative bias in sampling estimates of production and disease parameters of caged Atlantic salmon. Charlottetown: University of Prince Edward Island, 1992.

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36

Iliff, Kenneth W. Flight-determined subsonic longitudinal stability and control derivatives of the F-18 High Angle of Attack Research Vehicle (HARV) with thrust vectoring. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1997.

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37

Iliff, Kenneth W. Flight-determined subsonic longitudinal stability and control derivatives of the F-18 High Angle of Attack Research Vehicle (HARV) with thrust vectoring. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1997.

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38

Iliff, Kenneth W. Flight-determined subsonic longitudinal stability and control derivatives of the F-18 High Angle of Attack Research Vehicle (HARV) with thrust vectoring. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1997.

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39

Iliff, Kenneth W. Flight-determined subsonic longitudinal stability and control derivatives of the F-18 High Angle of Attack Research Vehicle (HARV) with thrust vectoring. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1997.

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40

Iliff, Kenneth W. Flight-determined subsonic longitudinal stability and control derivatives of the F-18 High Angle of Attack Research Vehicle (HARV) with thrust vectoring. Edwards, Calif: NASA, Dryden Flight Research Center, 1997.

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41

Klein, Vladislav. Aerodynamic parameters of High-Angle-of-Attack Research Vehicle (HARV) estimated from flight data. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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42

Klein, Vladislav. Aerodynamic parameters of high-angle-of-attack research vehicle (Harv) estimated from flight data. Hampton, Va: National Aeronautics and Space Administration, 1990.

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43

Klein, Vladislav. Aerodynamic parameters of high performance aircraft estimated from wind tunnel and flight test data. [Washington, DC: National Aeronautics and Space Administration, 1998.

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44

Kasenow, Michael. Selected analytical methods using computer programs to estimate aquifer parameters from pump test data. Dubuque, Iowa: W.C. Brown Publishers, 1993.

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45

Frost, L. H. Underground Research Laboratory shaft excavation drawdown experiment: Estimate of hydraulic parameter values for moderately fractured rock. Pinawa, Man: AECL, Whiteshell Laboratories, 1997.

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46

Pakes, Ariel. Simple estimators for the parameters of discrete dynamic games (with entry/exit samples). Cambridge, MA: National Bureau of Economic Research, 2004.

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47

T, Urbanik. The sensitivity of evacuation time estimates to changes in input parameters for the I-DYNEV computer code. Washington, DC: Division of Radiation Protection and Emergency Preparedness, Office of Nuclear Reactor Regulation, U.S. Nuclear Regulatory Commission, 1988.

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48

Atlas of the surface heat balance of the continents: Components and parameters estimated from climatological data. Berlin: G. Borntraeger, 1989.

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49

Thomopoulos, Nick T. Statistical Distributions: Applications and Parameter Estimates. Springer, 2018.

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50

Thomopoulos, Nick T. Statistical Distributions: Applications and Parameter Estimates. Springer, 2017.

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