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1

Pete, Palmer, and Thorn John 1947-, eds. The hidden game of football. New York, NY: Warner Books, 1988.

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2

Shire, David. Half truths, Half measures: Hidden statistics on black unemployment. London): Black Employment Institute, 1997.

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3

Suicide: The hidden side of modernity. Cambridge, UK: Polity Press, 2008.

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4

Bob, Carroll. The hidden game of football: The next edition. New York: Total Sports, 1998.

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5

Zucchini, W. Hidden Markov models for time series: An introduction using R. Boca Raton: Chapman & Hall/CRC, 2009.

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6

John, Thorn. The hidden game of baseball: A revolutionary approach to baseball and its statistics. Garden City, N.Y: Doubleday, 1985.

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7

Viavant, Timothy Roland. Observations of fish attraction devices in Hidden and Harding Lakes, Alaska. Anchorage: Alaska Dept. of Fish and Game, Division of Sport Fish, Research and Technical Services, 1996.

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8

Numbers rule your world: The hidden influence of probability and statistics on everything you do. New York: McGraw-Hill, 2010.

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9

Numbers rule your world: The hidden influence of probabilities and statistics on everything you do. New York: McGraw-Hill, 2010.

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10

Numbers rule your world: The hidden influence of probabilities and statistics on everything you do. New York: McGraw-Hill, 2010.

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11

Paulos, John Allen. Once upon a number: The hidden mathematical logic of stories. New York, NY: Basic Books, 1998.

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12

Kivivuori, Janne. Discovery of hidden crime: Self-report delinquency surveys in criminal policy context. Oxford: Oxford University Press, 2011.

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13

Worse than you think: The real economy hidden beneath Washington's rigged statistics, and where to go from here. United States]: [publisher not identified], 2012.

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14

Cahill, Kevin. Who owns the world: The hidden facts behind land ownership. Edinburgh: Mainstream, 2006.

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15

Eisenberg, Bryan, and Jim Novo. The marketer's common sense guide to e-metrics: 22 benchmarks to understand the major trends, key opportunities, and hidden hazards your web logs uncover. [S.l.]: Future Now, Inc., 2002.

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16

Hidden Markov models for bioinformatics. Dordrecht: Kluwer Academic Publishers, 2001.

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17

Bellotti, Robert S. Basketball's hidden game: Points created, boxscore defense, and other revelations. New Brunswick, N.J: Night Work Pub. Co., 1988.

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18

Barabási, Albert-László. Bursts: The hidden pattern behind everything we do. New York, N.Y: Dutton, 2010.

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19

Bursts: The hidden pattern behind everything we do. New York, N.Y: Dutton, 2010.

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20

Steller, Rose M. Hides, skins, and leather. Washington, DC: Office of Industries, U.S. International Trade Commission, 1997.

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21

Steller, Rose M. Furskins. Washington, DC: Office of Industries, U.S. International Trade Commission, 1994.

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22

Adair, Peggy. Hide & seek: The state of the child in Nebraska. [Omaha, NE]: Voices for Children in Nebraska, 1992.

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23

McManus, Rob. Nowhere to run, nowhere to hide: A profile of domestic violence in South Carolina. [Blythewood, S.C.]: South Carolina Department of Public Safety, Office of Justice Programs, Statistical Analysis Center, 2006.

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24

Fooled by randomness: The hidden role of chance in life and in the markets. 2nd ed. New York: Random House Trade Paperbacks, 2005.

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25

Fooled by randomness: The hidden role of chance in the markets and in life. New York: Texere, 2001.

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26

Enquête sur la création de valeur dans l'artisanat de textile, habillement, cuirs et peaux: Rapport d'étude. Cotonou?]: Direction des statistiques et études économiques, Service des statistiques et études de l'industrie, 2011.

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27

Cappé, Olivier, Eric Moulines, and Tobias Ryden. Inference in Hidden Markov Models (Springer Series in Statistics). Springer, 2007.

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28

1948-, Sík Endre, ed. Hidden economy in Hungary: Hidden economy as it is seen through the households. Budapest: Hungarian Central Statistical Office, 1998.

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29

Darroch, Gordon. Dawn of Canada's Century: Hidden Histories. McGill-Queen's University Press, 2015.

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30

Dawn of Canada's Century: Hidden Histories. McGill-Queen's University Press, 2014.

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31

John, Thorn. The hidden game of baseball: A revolutionary approach to baseball and its statistics. 2015.

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32

Hidden Markov Models for Time Series: An Introduction Using R, Second Edition. Chapman and Hall/CRC, 2016.

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33

Paulos, John Allen. Once Upon a Number : The Hidden Mathematical Logic of Stories. Basic Books, 1999.

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34

Hidden Markov Models for Time Series: A Practical Introduction using R (Monographs on Statistics and Applied Probability). 2nd ed. Chapman & Hall/CRC, 2009.

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35

Samuelsson, Christer. Statistical Methods. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0019.

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Statistical methods now belong to mainstream natural language processing. They have been successfully applied to virtually all tasks within language processing and neighbouring fields, including part-of-speech tagging, syntactic parsing, semantic interpretation, lexical acquisition, machine translation, information retrieval, and information extraction and language learning. This article reviews mathematical statistics and applies it to language modelling problems, leading up to the hidden Markov model and maximum entropy model. The real strength of maximum-entropy modelling lies in combining evidence from several rules, each one of which alone might not be conclusive, but which taken together dramatically affect the probability. Maximum-entropy modelling allows combining heterogeneous information sources to produce a uniform probabilistic model where each piece of information is formulated as a feature. The key ideas of mathematical statistics are simple and intuitive, but tend to be buried in a sea of mathematical technicalities. Finally, the article provides mathematical detail related to the topic of discussion.
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36

Food and Agriculture Organization of the United Nations. Commodities and Trade Division., ed. Price compendium for raw hides and skins and derived products. [Rome?]: FAO, 1986.

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37

Keizaikyoku, Tokyo (Japan) Rōdō, ed. Chūgoku ni okeru hikaku sangyō no jitsujō chōsa hōkokusho. Tōkyō: Tōkyō-to Rōdō Keizaikyoku, 1985.

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38

Tōkyō-to Taiwan Honkon Shingapōru Hikaku Sangyō Chōsadan hōkokusho. Tōkyō: Tōkyō-to Rōdō Keizaikyoku, 1985.

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39

A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding. Providence, USA: Brown University, 2019.

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40

Kachelriess, Michael. Thermal field theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198802877.003.0015.

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After a review of the calculational approaches, the free energy of scalar particles in thermal equilibrium is calculated. The IR behaviour of mass-less scalar fields is examined, finding that a resummation of IR divergent terms is necessary. In general, particles acquire a temperature-dependent (Debye) mass, while symmetries of the Lagrangian may be hidden at low temperatures. In an appendix, the basics of equilibrium statistical physics is reviewe
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41

M, Yokoyama Kevin, ed. U.S. import statistics for animal related commodities, 1981-1986. New Brunswick, NJ, U.S.A: Transaction Publishers, 1989.

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42

Nations, Food and Agriculture Organization of the United. World Statistical Compendium for Raw Hides & Skins, Leather & Leather Footwear 1979-1997 (World Statistical Compendium for Raw Hides and Skins, Leather and Leather Footwear). Food & Agriculture Org, 2000.

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43

Hans, Steiner, Daniels Whitney, Kelly Michael, and Stadler Christina. Taxonomy, Classification, and Diagnosis of Disruptive Behavior Disorders. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190265458.003.0002.

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This chapter traces the development of diagnoses attempting to capture antisocial and aggressive behavior. The chapter provides a careful discussion of the advantages of the Diagnostic and Statistical Manual of Mental Disorders and International Classification of Diseases systems and their diagnostic grouping. Tracing the processes by which these diagnoses were created, the hidden and obvious problems in the current taxonomy are laid bare. The model of developmental psychopathology, of which disruptive behavior disorders arguably have been called a model disorder, provides concluding comments, which point to the advantages of another taxonomy that hold the promise of improving the state of the current descriptive systems.
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44

Organization, Food and Agriculture. World Statistical Compendium for Raw Hides and Skins, Leather and Leather Footwear. Food & Agriculture Organization of the United Nations (FAO), 1995.

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45

Organization, Food and Agriculture. World Statistical Compendium for Raw Hides and Skins, Leather and Leather Footwear. Food & Agriculture Organization of the United Nations (FAO), 1987.

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46

World Statistical Compendium for Raw Hides and Skins, Leather and Leather Footwear. Food & Agriculture Org, 2003.

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47

Food and Agriculture Organization of the United Nations. World Statistical Compendium for Raw Hides & Skins, Leather & Leather Footwear 1977-1995. Food & Agriculture Org, 1996.

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48

Cheng, Russell. Examples of Embedded Distributions. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0006.

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This chapter gives examples of probability distributions that, in their conventional parametrization, contain embedded models. Embeddedness is not intrinsic but depends on the parametrization. The simplest way to reveal and remove embeddedness is to reparametrize and make the log-likelihood, L, expandable as a Maclaurin series of one parameter, α‎: L = L0 + L1α‎ + L2α‎2 + … with L0 the log-likelihood of the embedded model hidden in the original parametrization. The quantity L1, rescaled using the information matrix, is the score statistic which can be used for formally comparing the original and embedded model fits. Embeddedness occurs in many distributions if there is a shifted threshold parameter. Examples given in the chapter are the Burr XII, gamma, generalized extreme value, inverse Gaussian, inverted gamma, logistic, loglogistic, lognormal, loggamma, Pareto, and Weibull distributions. Another interesting example occurs in early parametrizations of the stable law distribution.
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49

Milonni, Peter W. An Introduction to Quantum Optics and Quantum Fluctuations. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199215614.001.0001.

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This book is an introduction to quantum optics for students who have studied electromagnetism and quantum mechanics at an advanced undergraduate or graduate level. It provides detailed expositions of theory with emphasis on general physical principles. Foundational topics in classical and quantum electrodynamics, including the semiclassical theory of atom-field interactions, the quantization of the electromagnetic field in dispersive and dissipative media, uncertainty relations, and spontaneous emission, are addressed in the first half of the book. The second half begins with a chapter on the Jaynes-Cummings model, dressed states, and some distinctly quantum-mechanical features of atom-field interactions, and includes discussion of entanglement, the no-cloning theorem, von Neumann’s proof concerning hidden variable theories, Bell’s theorem, and tests of Bell inequalities. The last two chapters focus on quantum fluctuations and fluctuation-dissipation relations, beginning with Brownian motion, the Fokker-Planck equation, and classical and quantum Langevin equations. Detailed calculations are presented for the laser linewidth, spontaneous emission noise, photon statistics of linear amplifiers and attenuators, and other phenomena. Van der Waals interactions, Casimir forces, the Lifshitz theory of molecular forces between macroscopic media, and the many-body theory of such forces based on dyadic Green functions are analyzed from the perspective of Langevin noise, vacuum field fluctuations, and zero-point energy. There are numerous historical sidelights throughout the book, and approximately seventy exercises.
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50

World Statistical Compendium for Raw Hides and Skins, Leather & Leather Footwear 1972-1990. Food & Agriculture Organization of the United Nations (FAO), 1992.

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