Books on the topic 'Mathematics Estimation theory'
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Kay, Steven M. Modern spectral estimation: Theory and application. Englewood Cliffs, N.J: Prentice Hall, 1988.
Find full textGradient estimation via perturbation analysis. Boston: Kluwer Academic Publishers, 1991.
Find full textBock, Hans Georg. Model Based Parameter Estimation: Theory and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Find full textHarney, Hanns L. Bayesian Inference: Parameter Estimation and Decisions. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003.
Find full textHändel, Peter. Estimation methods for narrow-band signals. Uppsala: Uppsala University, Dept. of Technology Systems and Control Group, 1993.
Find full textNacházel, Karel. Teorie odhadu v hydrologii a ve vodním hospodářství. Praha: Academia, 1986.
Find full text1943-, Woods John W., ed. Probability, random processes, and estimation theory for engineers. Englewood Cliffs, N.J: Prentice-Hall, 1986.
Find full textStark, Henry. Probability, random processes, and estimation theory for engineers. 2nd ed. Englewood Cliffs, N.J: Prentice Hall, 1994.
Find full textservice), SpringerLink (Online, ed. Mono- and Multivariable Control and Estimation: Linear, Quadratic and LMI Methods. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.
Find full textTree structured function estimation with Haar wavelets. Hamburg: Verlag Dr. Kovač, 1999.
Find full text1976-, Gokeda Gopal, and Yu Yiqiang, eds. Introduction to direction-of-arrival estimation. Boston: Artech House, 2010.
Find full textOptimal unbiased estimation of variance components. Berlin: Springer-Verlag, 1986.
Find full textBitter, Gary G. Mental math and estimation. Allen, TX: DLM Teaching Resources, 1989.
Find full textHaug, Anton J. Bayesian estimation and tracking: A practical guide. Hoboken, NJ: Wiley, 2012.
Find full textNash, John C. Nonlinear parameter estimation: An integrated system in BASIC. Ottawa, Ontario, Canada: Nash Information Services, 1995.
Find full textSaleh, A. K. Md. Ehsanes. Theory of Preliminary Test and Stein-Type Estimation with Applications. New York: John Wiley & Sons, Ltd., 2006.
Find full textIntroduction to stochastic search and optimization: Estimation, simulation, and control. Hoboken, N.J: J. Wiley, 2003.
Find full textEfron, Bradley. The bootstrap method for assessing statistical accuracy. [Toronto]: University of Toronto, Dept. of Statistics, 1985.
Find full textVamos¸, C˘alin. Automatic trend estimation. Dordrecht: Springer Netherlands, 2013.
Find full textR, Thompson James. Nonparametric function estimation, modeling, and simulation. Philadelphia: Society for Industrial and Applied Mathematics, 1990.
Find full textFu, Michael. Conditional Monte Carlo: Gradient estimation and optimization applications. Boston: Kluwer Academic Publishers, 1997.
Find full textAnton, Stoorvogel, and Sannuti Peddapullaiah 1941-, eds. Filtering theory: With applications to fault detection, isolation, and estimation. Boston ; Berlin: Birkhäuser, 2007.
Find full textStreet-fighting mathematics: The art of educated guessing and opportunistic problem solving. Cambridge, MA: MIT Press, 2010.
Find full textL, Junkins John, ed. Optimal estimation of dynamic systems. 2nd ed. Boca Raton, FL: Chapman and Hall/CRC, 2011.
Find full textKoch, Karl-Rudolf. Parameter Estimation and Hypothesis Testing in Linear Models. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999.
Find full textKrishnan, Venkatarama. Nonlinear filtering and smoothing: An introduction to martingales, stochastic integrals, and estimation. Mineola, NY: Dover Publications, 2005.
Find full textYavin, Yaakov. Numerical studies in nonlinear filtering. Berlin: Springer-Verlag, 1985.
Find full textMillar, R. B. Maximum likelihood estimation and inference: With examples in R, SAS, and ADMB. Hoboken, N.J: Wiley, 2011.
Find full textHarney, Hanns L. Bayesian inference: Parameter estimation and decisions. Berlin: Springer, 2002.
Find full textFerger, D. On the almost sure convergence of maximum likelihood-type estimators for a change point. Dresden: Technische Universität Dresden, Institut für Mathematische Stochastik, 2004.
Find full textBabuška, Ivo. Finite elements: An introduction to the method and error estimation. Oxford: Oxford University Press, 2011.
Find full textWhiteman, J. R. (John Robert) and Strouboulis Theofanis, eds. Finite elements: An introduction to the method and error estimation. Oxford: Oxford University Press, 2011.
Find full textYavin, Yaakov. Numerical Studies in Nonlinear Filtering. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985.
Find full textZeng, Lingjia. Standard errors of linear equating for the single-group design. Iowa City: American College Testing Program, 1991.
Find full textToutenburg, Helge. MSE-comparisons between restricted least squares, mixed, and weighted mixed estimators with special emphasize [i.e. emphasis] to nested restrictions. Berlin: Akademie der Wissenschaften der DDR, Karl-Weierstrass-Institut für Mathematik, 1988.
Find full textA, Vasilʹev V. Neparametricheskoe ot︠s︡enivanie funkt︠s︡ionalov ot raspredeleniĭ stat︠s︡ionarnykh posledovatelʹnosteĭ. Moskva: Nauka, 2004.
Find full textTibshirani, Robert. A comparison of some error estimates for neural network models. [Toronto]: University of Toronto, Dept. of Statistics, 1994.
Find full textMcMillan, Dawn. Estimating with the newspaper. Mankato, Minn: Capstone Press, 2010.
Find full textMcMillan, Dawn. Estimating with the newspaper. Mankato, Minn: Capstone Press, 2010.
Find full textMcMillan, Dawn. Estimating with the newspaper. Mankato, Minn: Capstone Press, 2010.
Find full textS. A. van de Geer. Applications of empirical process theory. Cambridge: Cambridge University Press, 2000.
Find full textVerhagen, Sandra. The GNSS integer ambiguities: estimation and validation. Delft: NCG, Nederlandse Commissie voor Geodesie Netherlands Geodetic Commission, 2005.
Find full textKay, Steven M. Modern Spectral Estimation: Theory and Application. Not Avail, 1999.
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