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31: Bibliography G
  • P. Groeneboom and D. R. Truax (2000) A monotonicity property of the power function of multivariate tests. Indag. Math. (N.S.) 11 (2), pp. 209–218.
  • 32: 5.19 Mathematical Applications
    Many special functions f ( z ) can be represented as a Mellin–Barnes integral, that is, an integral of a product of gamma functions, reciprocals of gamma functions, and a power of z , the integration contour being doubly-infinite and eventually parallel to the imaginary axis at both ends. …
    33: 16.25 Methods of Computation
    Methods for computing the functions of the present chapter include power series, asymptotic expansions, integral representations, differential equations, and recurrence relations. …
    34: 12.15 Generalized Parabolic Cylinder Functions
    §12.15 Generalized Parabolic Cylinder Functions
    This equation arises in the study of non-self-adjoint elliptic boundary-value problems involving an indefinite weight function. See Faierman (1992) for power series and asymptotic expansions of a solution of (12.15.1).
    35: Bibliography B
  • D. K. Bhaumik and S. K. Sarkar (2002) On the power function of the likelihood ratio test for MANOVA. J. Multivariate Anal. 82 (2), pp. 416–421.
  • 36: 29.3 Definitions and Basic Properties
    §29.3(vii) Power Series
    37: 22.14 Integrals
    §22.14(ii) Indefinite Integrals of Powers of Jacobian Elliptic Functions
    The indefinite integral of the 3rd power of a Jacobian function can be expressed as an elementary function of Jacobian functions and a product of Jacobian functions. The indefinite integral of a 4th power can be expressed as a complete elliptic integral, a polynomial in Jacobian functions, and the integration variable. … For indefinite integrals of squares and products of even powers of Jacobian functions in terms of symmetric elliptic integrals, see Carlson (2006b). …
    38: 19.28 Integrals of Elliptic Integrals
    Also, B again denotes the beta function5.12). …
    19.28.1 0 1 t σ 1 R F ( 0 , t , 1 ) d t = 1 2 ( B ( σ , 1 2 ) ) 2 ,
    19.28.2 0 1 t σ 1 R G ( 0 , t , 1 ) d t = σ 4 σ + 2 ( B ( σ , 1 2 ) ) 2 ,
    19.28.4 0 1 t σ 1 ( 1 t ) c 1 R a ( b 1 , b 2 ; t , 1 ) d t = Γ ( c ) Γ ( σ ) Γ ( σ + b 2 a ) Γ ( σ + c a ) Γ ( σ + b 2 ) , c = b 1 + b 2 > 0 , σ > max ( 0 , a b 2 ) .
    19.28.9 0 π / 2 R F ( sin 2 θ cos 2 ( x + y ) , sin 2 θ cos 2 ( x y ) , 1 ) d θ = R F ( 0 , cos 2 x , 1 ) R F ( 0 , cos 2 y , 1 ) ,
    39: 27.20 Methods of Computation: Other Number-Theoretic Functions
    To calculate a multiplicative function it suffices to determine its values at the prime powers and then use (27.3.2). …
    40: 14.32 Methods of Computation
    In particular, for small or moderate values of the parameters μ and ν the power-series expansions of the various hypergeometric function representations given in §§14.3(i)14.3(iii), 14.19(ii), and 14.20(i) can be selected in such a way that convergence is stable, and reasonably rapid, especially when the argument of the functions is real. …