New Classes of Multivariate Gamma Survival and Reliability Models,Used

New Classes of Multivariate Gamma Survival and Reliability Models,Used

In Stock
SKU: DADAX383831140X
Brand: LAP Lambert Academic Publishing
Sale price$88.61 Regular price$126.59
Save $37.98
Quantity
Add to wishlist
Add to compare

Processing time: 1-3 days

US Orders Ships in: 3-5 days

International Orders Ships in: 8-12 days

Return Policy: 15-days return on defective items

Payment Option
Payment Methods

Help

If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.

Customer service

All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com

Sale & Press

If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com

Multivariate modeling and analysis based on the multivariate normal distribution is well established and widely used. However, when the marginal distributions have only a positive support, such as timetoevent models, that are positively skewed, often the multivariate normal theory and resulting approximations fail. Accordingly, over the last fifty years, thousands of papers have been published suggesting many ways of generating families of positive support multivariate distributions, such as gamma, Weibull and exponential. As evidenced by recent literature, this quest is still rigorously pursued even today. In this work, we provide a large and flexible class of multivariate gamma distributions that contains both absolutely continuous and discontinuous distributions on the positive hypercube support. All of these models are applicable to the area of reliability and survival modeling. Also, since this theoretical research resulted from a real world application we also provide methods for parameter estimation for a variety of applications.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

Recently Viewed