Mathematical Statistics with Applications

By K. Ramachandran, Ramachandran Tsokos, Chris P. Tsokos. 2009

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Direct Learning to Rank and Rerank (2018, background): “Ties are usually addressed by ﬁxing them, or assigning the tied observations a (possibly fractional) rank that is the average (e.g., tied observations would get ranks 7.5 rather than 7 and 8) (see Tamhane and Dunlop, 2000; Wackerly et al, 2002).”
Efficient Interaction-based Neural Ranking with Locality Sensitive Hashing (2019, background): “Note that for an unbiased estimator, mean squared error (MSE) equals to its variance [31].”
A two-step linear programming model for energy-efficient timetables in metro railway networks (2015, methodology): “A measurement of the quality of such fittings is given by the coefficient of determination , which can vary between 0 to 1, with 0 being the worst and 1 being the best ( Kapadia et al., 2005 , page 518).”
Downlink Coverage Analysis for a Finite 3-D Wireless Network of Unmanned Aerial Vehicles (2017, background): “The channel gains G 0 and G i follow a gamma distribution with the probability density function (PDF) [30] f G ( g ) = m m g m − 1 Γ( m ) exp( − mg ) .”
Localization in Wireless Sensor Networks (2007, background): “[19] which states that in this scenario, the probability that there are k sensors in a given area a follows a Poisson distribution:”
A comparison of statistical significance tests for information retrieval evaluation (2007, methodology): “For sample sizes greater than 25, a normal approximation to this distribution exists [13].”