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This paper presents a statistical method to subtract background in maximumlikelihood fit, without relying on any separate sideband or simulation forbackground modeling. The method, called sFit, is an extension to the sPlottechnique originally developed to reconstruct true distribution for each datecomponent. The sWeights defined for the sPlot technique allow to construct amodified likelihood function using only the signal probability density functionand events in the signal region. Contribution of background events in thesignal region to the likelihood function cancels out on a statistical basis.Maximizing this likelihood function leads to unbiased estimates of the fitparameters in the signal probability density function.

sFit: a method for background subtraction in maximum likelihood fit