Statistical Distributions

<b>A new edition of the trusted guide on commonly used statistical distributions</b> <p>Fully updated to reflect the latest developments on the topic, <i>Statistical Distributions</i>, Fourth Edition continues to serve as an authoritative guide on the application of statistical methods to research across various disciplines. The book provides a concise presentation of popular statistical distributions along with the necessary knowledge for their successful use in data modeling and analysis.</p> <p>Following a basic introduction, forty popular distributions are outlined in individual chapters that are complete with related facts and formulas. Reflecting the latest changes and trends in statistical distribution theory, the <i>Fourth Edition</i> features:</p> <ul> <li>A new chapter on queuing formulas that discusses standard formulas that often arise from simple queuing systems</li> <li>Methods for extending independent modeling schemes to the dependent case, covering techniques for generating complex distributions from simple distributions</li> <li>New coverage of conditional probability, including conditional expectations and joint and marginal distributions</li> <li>Commonly used tables associated with the normal (Gaussian), student-t, F and chi-square distributions</li> <li>Additional reviewing methods for the estimation of unknown parameters, such as the method of percentiles, the method of moments, maximum likelihood inference, and Bayesian inference</li> </ul> <p><b>Statistical Distributions</b>, Fourth Edition is an excellent supplement for upper-undergraduate and graduate level courses on the topic. It is also a valuable reference for researchers and practitioners in the fields of engineering, economics, operations research, and the social sciences who conduct statistical analyses.</p>