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Books on the topic 'Estimate parameters'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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1

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

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2

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

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3

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

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4

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

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5

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

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6

Kuhnt, W. An attempt to estimate the damage in mines due to seismic events and rockbursts on the base of the determination of spectral source parameters. s.n, 1987.

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7

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

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8

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

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9

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

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10

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

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11

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

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12

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

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13

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

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14

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

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15

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

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16

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

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17

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

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18

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

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19

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

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20

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

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21

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

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22

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

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23

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

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24

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

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25

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

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26

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

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27

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

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28

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

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29

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

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30

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

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31

Statistik, Indonesia Badan Pusat. Fertilitas, mortalitas, dan migrasi: Estimasi parameter demografi : hasil survei penduduk antar sensus, 2005. Badan Pusat Statistik, 2006.

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32

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

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33

Baxa, Ernest G. The pulse-pair algorithm as a robust estimator of turbulent weather spectral parameters using airborne pulse Doppler radar. Langley Research Center, 1991.

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34

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

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35

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

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36

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

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37

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

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38

Higdon, Dave, Katrin Heitmann, Charles Nakhleh, and Salman Habib. Combining simulations and physical observations to estimate cosmological parameters. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.26.

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This article focuses on the use of a Bayesian approach that combines simulations and physical observations to estimate cosmological parameters. It begins with an overview of the Λ-cold dark matter (CDM) model, the simplest cosmological model in agreement with the cosmic microwave background (CMB) and largescale structure analysis. The CDM model is determined by a small number of parameters which control the composition, expansion and fluctuations of the universe. The present study aims to learn about the values of these parameters using measurements from the Sloan Digital Sky Survey (SDSS). Co

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39

Cheng, Russell. Non-Standard Problems: Some Examples. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0002.

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This chapter provides motivation for the rest of the book by giving a selection of simple examples showing how non-standard behaviour can occur. The well-known maximum likelihood estimator is used throughout this book to estimate an unknown vector of parameters. Its behaviour is standard if the log-likelihood is a concave quadratic function with the maximum in the neighbourhood of the true parameter value, but is otherwise non-standard. Examples of non-standard situations given in this chapter include the true parameter value not being an internal point of the parameter space, but being on a f

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40

Kelley, Michael John. Using a single-well push-pull test to estimate mass transfer rate parameters. 1999.

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41

Kelley, Michael John. Using a single-well push-pull test to estimate mass transfer rate parameters. 1999.

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42

S, Hammond Philip, Mizroch Sally A, Donovan Gregory P, and Symposium and Workshop on Individual Recognition and the Estimation of Cetacean Population Parameters (1988 : La Jolla, San Diego, Calif.), eds. Individual recognition of cetaceans: Use of photo-identification and other techniques to estimate population parameters : incorporating the proceedings of the Symposium and Workshop on Individual Recognition and the Estimation of Cetacean Population Parameters. International Whaling Commission, 1990.

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43

Estimate Of The Lean Angle Of Motorcycles Design And Analysis Of Systems For Measuring And Estimating The Attitude Parameters Of Motorcycles. VDM Verlag, 2010.

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44

Cheng, Russell. Standard Asymptotic Theory. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0003.

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This book relies on maximum likelihood (ML) estimation of parameters. Asymptotic theory assumes regularity conditions hold when the ML estimator is consistent. Typically an additional third derivative condition is assumed to ensure that the ML estimator is also asymptotically normally distributed. Standard asymptotic results that then hold are summarized in this chapter; for example, the asymptotic variance of the ML estimator is then given by the Fisher information formula, and the log-likelihood ratio, the Wald and the score statistics for testing the statistical significance of parameter es

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45

Chappell, Michael, Bradley MacIntosh, and Thomas Okell. Kinetic Modeling. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198793816.003.0004.

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The quantification of perfusion from arterial spin labeling (ASL) perfusion MRI data relies upon the principles of tracer kinetics. This chapter first outlines the simplest form of a tracer kinetic model that can be applied to ASL data, before exploring variations on this model that can be applied to extract other hemodynamic information such as arterial transit time. Finally, the chapter examines how tracer kinetic models are used with data to estimate perfusion parameters, including the use of model fitting and Bayesian inference.

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46

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

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47

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

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48

Moonen, Marie, Nico Van de Veire, and Erwan Donal. Heart failure: risk stratification and follow-up. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0027.

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An increasing number of two- and three-dimensional echocardiographic, Doppler, and speckle imaging-derived parameters and values can be related to prognosis in heart failure with left ventricular (LV) systolic dysfunction. This chapter discusses both conventional and new indices, including their advantages and potential limitations. There is increasing evidence for the use of new indices, including three-dimensional LV ejection fraction and global longitudinal strain. The follow-up and monitoring of heart failure patients using two-dimensional transthoracic echocardiography is also discussed i

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49

Rosca, Monica, Sergio Mondillo, and Kim O’Connor. Left atrium. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0022.

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The left atrium (LA) in a close interdependence with the left ventricle plays an essential role in the overall cardiovascular performance. The impact of LA remodelling on prognosis and risk stratification has gathered increasing evidence. With advances in imaging technology, the assessment of LA size and function become more accessible and precise. LA volume provides the most accurate estimate of LA size and superior prognostic information. Accounting for complex geometry and motion, three-dimensional echocardiography emerges as the preferred technique for the assessment of dynamic changes in

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50

Projection filters for modal parameter estimate for flexible structures. Dept. of Mechanical Engineering and Mechanics, College of Engineering, Old Dominion University, 1987.

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