Continuous Univariate Distributions, Volume 2Comprehensive reference for statistical distributions Continuous Univariate Distributions, Volume 2 provides in-depth reference for anyone who applies statistical distributions in fields including engineering, business, economics, and the sciences. Covering a range of distributions, both common and uncommon, this book includes guidance toward extreme value, logistics, Laplace, beta, rectangular, noncentral distributions and more. Each distribution is presented individually for ease of reference, with clear explanations of methods of inference, tolerance limits, applications, characterizations, and other important aspects, including reference to other related distributions. |
Contents
Extreme Value Distributions | 1 |
Logistic Distribution | 113 |
Laplace Double Exponential Distributions | 164 |
Beta Distributions | 210 |
Uniform Rectangular Distributions | 276 |
FDistributions | 322 |
XV | 324 |
tDistributions | 362 |
Applications | 467 |
Noncentral FDistributions | 480 |
Noncentral tDistributions | 508 |
References | 539 |
Distributions of Correlation Coefficients | 545 |
322 | 637 |
Lifetime Distributions and Miscellaneous Orderings | 639 |
| 686 | |
164 | 384 |
210 | 426 |
Noncentral x˛Distributions | 433 |
Approximations | 461 |
| 691 | |
| 701 | |
Other editions - View all
Continuous Univariate Distributions, Volume 2 Norman Lloyd Johnson,Samuel Kotz,N. Balakrishnan No preview available - 1994 |
Common terms and phrases
algorithm American Statistical Association analysis Annals of Mathematical applications approximation asymptotic Balakrishnan best linear unbiased beta distribution Biometrika characteristic function characterization coefficient Communications in Statistics-Theory Computation cumulative distribution function decimal places degrees of freedom derived discussed double exponential distribution equation error expected value extreme value distribution F-distribution formula gamma Gumbel incomplete beta function independent random variables integral Journal of Statistical Laplace distribution linear estimators linear unbiased estimators logistic distribution Mathematical Statistics maximum likelihood estimator noncentral noncentral t-distribution normal distribution Note obtained order statistics P₁ Pearson percentage points Pr[t probability density function Px(x Py(y q₁ quantiles ratio rectangular distribution Sankhyā scale parameters Section Series standard beta standard deviation Statistics-Theory and Methods Student's symmetric tables tion transformation type 1 extreme uniform distribution v₁ v₂ variance Weibull X₁ νι