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An in (or ) form. If all the strategy sets have a finite number of elements, the game is called . Definition of a pure strategy Nash equilibrium for an -person game. Sufficient conditions for the existence of a pure strategy Nash equilibrium. (There will usually be several Nash equilibria.)

The , special cases. The . . (If 16 = 5·3+1 socks are distributed among 3 drawers, then at least one drawer must contain at least 6 socks.)

is the discrete/continuous probability density function for the random (or stochastic) variable . is the cumulative discrete/continuous distribution function. In the continuous case, ( = ) = 0. Expectation of a random variable with discrete/continuous probability density function . = [] is called the . Expectation of a function of a random variable with discrete/continuous probability density function .

(For moment generating and characteristic functions, see the more general multivariate normal distribution in (34.15).) with degrees of freedom. Γ is the gamma function defined in (9.53).

The method of least squares with explanatory variables. is often called the . Definition of the coefficient of determination and the multiple correlation coefficient. 100 is percentage of explained variation in .