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Journal of the American Statistical Association Volume 88, 1993 - Issue 422
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Theory and Method

Estimating Hot Numbers and Testing Uniformity for the Lottery

Richard Johnson Department of Statistics, University of Wisconsin, Madison, WI, 53706
&
Jerome Klotz Department of Statistics, University of Wisconsin, Madison, WI, 53706
Pages 662-668 | Received 01 Jan 1991, Published online: 27 Feb 2012

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D J. Best & J C W. Rayner. (1997) Goodness of fit for thei ordered categories discrete uniform distribution. Communications in Statistics - Theory and Methods 26:4, pages 899-909.
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Articles from other publishers (8)

Hilary I. Okagbue, Muminu O. Adamu, Pelumi E. Oguntunde, Abiodun A. Opanuga & Manoj K. Rastogi. (2017) Exploration of UK Lotto results classified into two periods. Data in Brief 14, pages 213-219.
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In-Kwon Yeo. (2014) A Test for Randomness of the Binary Random Sequence. Korean Journal of Applied Statistics 27:1, pages 115-122.
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John Haigh. 2008. Handbook of Sports and Lottery Markets. Handbook of Sports and Lottery Markets 481 502 .
William T. Ziemba. 2008. Handbook of Sports and Lottery Markets. Handbook of Sports and Lottery Markets 183 222 .
Chung-Piaw Teo & Siew Meng Leong. (2002) Managing Risk in a Four-Digit Number Game. SIAM Review 44:4, pages 601-615.
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Mark Finkelstein. (1995) Estimating the frequency distribution of the numbers bet on the California lottery. Applied Mathematics and Computation 69:2-3, pages 195-207.
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Donald B. Hausch & William T. Ziemba. 1995. Finance. Finance 545 580 .
Steven Douglas Moffitt & William T. Ziemba. (2017) Does it Pay to Buy the Pot in the Canadian 6/49 Lottery? Implications for Lottery Design. SSRN Electronic Journal.
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