Modern concepts and theorems of mathematical statistics |
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... Binomial and Binomial 132 §4.2. Binomial and Multinomial 132 §4.3. Binomial and Beta 132 §4.4. Binomial and Fisher's F 133 §4.5. Binomial and Hypergeometric 133 §4.6. Binomial and Poisson 133 §4.7. Binomial and Normal 133 §4.8 ...
... Binomial and Binomial 132 §4.2. Binomial and Multinomial 132 §4.3. Binomial and Beta 132 §4.4. Binomial and Fisher's F 133 §4.5. Binomial and Hypergeometric 133 §4.6. Binomial and Poisson 133 §4.7. Binomial and Normal 133 §4.8 ...
Page 132
... Binomial If Xl , ..., Xk are independent random variables having binomial distributions with parameters (nl, p), ..., (nk, p), respectively, then £{Li Xt has a binomial ... Binomial and Binomial Binomial and Multinomial Binomial and Beta.
... Binomial If Xl , ..., Xk are independent random variables having binomial distributions with parameters (nl, p), ..., (nk, p), respectively, then £{Li Xt has a binomial ... Binomial and Binomial Binomial and Multinomial Binomial and Beta.
Page 133
Edward B. Manoukian. §4.7. Binomial and Normal 133. §4.4. Binomial. and. Fisher's. F. If F(vl, v2) has a Fisher F-distribution of vl and v2 degrees of ... Binomial and Fisher's F Binomial and Hypergeometric Binomial and Poisson Binomial and ...
Edward B. Manoukian. §4.7. Binomial and Normal 133. §4.4. Binomial. and. Fisher's. F. If F(vl, v2) has a Fisher F-distribution of vl and v2 degrees of ... Binomial and Fisher's F Binomial and Hypergeometric Binomial and Poisson Binomial and ...
Other editions - View all
Modern Concepts and Theorems of Mathematical Statistics Edward B. Manoukian No preview available - 2011 |
Modern Concepts and Theorems of Mathematical Statistics Edward B Manoukian No preview available - 1985 |
Common terms and phrases
a-test approximation beta distribution binomial bution called characteristic function Consider the test continuous distribution F(x converges in probability decision function degrees of freedom denote the number density or probability distri distributed random variables distribution with mean distribution with parameters estimator of 9 exponential family F-distribution finite given H0 is rejected hence hypothesis H0 identically distributed random independent identically distributed independent of 9 independent random variables inequality large values least-squares estimate Let Xu likelihood ratio limiting N(0 Manoukian 1986 matrix median noncentral chi-square distribution noncentrality parameter Nonparametric null hypothesis One-Sample order statistics parameter 9 Pitman asymptotic efficiency Poisson population probability density function probability mass function rank rejecting H0 respectively Roussas SC(x sequence Serfling standard normal distribution Student distribution sufficient statistic symmetric test of hypothesis Theorem Two-Sample unbiased estimator v2 degrees variance a2 Xn be independent Yj=i