Books on the topic 'Estimation theory'

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1

Lehmann, E. L. Theory of point estimation. New York: Springer, 1997.

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2

Lehmann, E. L. Theory of Point Estimation. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-8071-3.

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3

Kubáček, Lubomír. Foundations of estimation theory. Amsterdam: Elsevier, 1988.

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4

Lehmann, E. L. Theory of point estimation. 2nd ed. New York: Springer, 1998.

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5

Ross, Gavin J. S. Nonlinear estimation. New York: Springer-Verlag, 1990.

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6

Trees, Harry L. Van. Detection, estimation, and modulation theory. Hoboken, N.J: Wiley, 2003.

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7

Akahira, Masafumi. Asymptotic theory of statistical estimation. Ibaraki, Japan: Institute of Mathematics, University of Tsukuba, 1991.

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8

Dowdy, Penny. Estimation. New York: Crabtree Pub., 2008.

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9

Wegkamp, M. H. Entropy methods in statistical estimation. Amsterdam, The Netherlands: CWI, 1998.

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10

Maine, Richard E. Identification of dynamic systems: Theory and formulation. Washington, D.C: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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11

A. J. H. van Es. Aspects of nonparametric density estimation. Amsterdam, The Netherlands: Centrum voor Wiskunde en Informatica, 1991.

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12

Institute for Computer Applications in Science and Engineering., ed. On a variational approach to some parameter estimation problems. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1985.

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13

Ghosh, Malay. Sequential estimation. New York: Wiley, 1997.

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14

Yan, Liping, Lu Jiang, and Yuanqing Xia. Multisensor Fusion Estimation Theory and Application. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9426-7.

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15

Petković, Miodrag S. Point Estimation Theory And Its Applications. Novi Sad, Serbia: Univ. of Novi Sad, Institute of Math., 1997.

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16

Baker, Frank B. Item response theory: Parameter estimation techniques. New York: M. Dekker, 1992.

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17

Kay, Steven M. Modern spectral estimation: Theory and application. Englewood Cliffs, N.J: Prentice Hall, 1988.

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18

Sankaranarayanan, G. Branching processes and its estimation theory. New York: J. Wiley, 1989.

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19

Tsybakov, Alexandre B. Introduction to nonparametric estimation. New York: Springer, 2009.

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20

Akahira, Masafumi. Non-regular statistical estimation. New York: Springer, 1995.

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21

Adamson, Thomas K. Can you guess what estimation is? Mankato, Minn: Capstone Press, 2012.

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22

Patterson, Cleveland S. Cost of Capital : Theory and Estimation: Theory and Estimation. ABC-CLIO, LLC, 1995.

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23

Fourdrinier, Dominique, Martin T. Wells, and William E. Strawderman. Shrinkage Estimation. Springer International Publishing AG, 2018.

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24

Paris, Matteo. Quantum State Estimation. Springer, 2010.

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25

Foundations of Estimation Theory. Elsevier, 1988. http://dx.doi.org/10.1016/c2009-0-12540-0.

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26

Theory of Point Estimation. New York: Springer-Verlag, 1998. http://dx.doi.org/10.1007/b98854.

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27

Theory of Point Estimation. Springer London, Limited, 2006.

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28

Theory of Point Estimation. Taylor & Francis Group, 1991.

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29

Theory of point estimation. Pacific Grove, Calif: Wadsworth & Brooks/Cole Advanced Books & Software, 1991.

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30

Casella, George, and Erich L. Lehmann. Theory of Point Estimation. Springer, 2011.

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31

Kubacek, L. Foundations of Estimation Theory. Elsevier Science & Technology Books, 2012.

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32

Theory of Point Estimation. 1991.

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33

Kotz, Samuel. Statistical Estimation: Asymptotic Theory. Springer London, Limited, 2013.

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34

Random fields estimation theory. Harlow: Longman Scientific & Technical, 1990.

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35

Random fields estimation theory. Harlow, Essex, England: Longman Scientific & Technical, 1990.

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36

Trees, Harry L. Van. Detection, Estimation and Modulation Theory, Detection, Estimation and Linear Modulation Theory. Wiley & Sons, Incorporated, John, 2008.

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37

Eggermont, P. P. B., and V. N. LaRiccia. Maximum Penalized Likelihood Estimation : Volume I: Density Estimation. Springer New York, 2010.

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38

Ross, Gavin J. S. Nonlinear Estimation. Springer, 2011.

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39

Ross, Gavin J. S. Nonlinear Estimation. Springer London, Limited, 2012.

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40

Bell, Kristine L., Zhi Tian, and Harry L. Van Trees. Detection Estimation and Modulation Theory, Part I: Detection, Estimation, and Filtering Theory. Wiley & Sons, Limited, John, 2013.

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41

Detection, Estimation, and Modulation Theory Pt. 1: Detection, Estimation, and Filtering Theory. Wiley & Sons Canada, Limited, John, 2004.

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42

Michelli, Charles. Optimal Estimation in Approximation Theory. Springer, 2014.

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43

Srivastava, Namita, Manoj Kumar Srivastava, and Abdul Hamid Khan. Statistical Inference: Theory of Estimation. Prentice Hall India Pvt., Limited, 2014.

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44

Detection, estimation, and modulation theory. Malabar, Fla: Krieger Pub. Co., 1992.

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45

Michelli, Charles. Optimal Estimation in Approximation Theory. Springer, 2013.

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46

Michelli, Charles. Optimal Estimation in Approximation Theory. Springer, 2013.

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47

Detection, estimation, and modulation theory. New York: Wiley, 2001.

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48

Detection, estimation, and modulation theory. New York: Wiley, 2001.

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49

Lessons in digital estimation theory. Englewood Cliffs, N.J: Prentice-Hall, 1987.

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50

Detection, estimation, and modulation theory. New York: Wiley-Interscience, 2002.

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