A Review of Numerical Methods for Computing Point and Interval Estimates by S-PLUS Package
نویسندگان
چکیده مقاله:
For computing different point estimates such as method of moment and maximum like-lihood estimates and different interval estimates (classical confidence interval, unbi-ased confidence interval, HPD interval), we may deal with the equations which need be solved numerically. In this paper, some numerical methods for solving these type of equations are reviewed in S-PLUS package. Various examples are presented to illus-trate the methods described.
منابع مشابه
A review of methods for resource allocation and operational framework in cloud computing
The issue of management and allocation of resources in cloud computing environments, according to the breadth of scale and modern technology implementation, is a complicated issue. Issues such as: the heterogeneity of resources, resource dependencies to each other, the dynamics of the environment, virtualization, workload diversity as well as a wide range of management objectives of cloud servi...
متن کاملImproving Point and Interval Estimates of Monotone Functions by Rearrangement
Suppose that a target function f0 : R d → R is monotonic, namely, weakly increasing, and an original estimate f̂ of this target function is available, which is not weakly increasing. Many common estimation methods used in statistics produce such estimates f̂ . We show that these estimates can always be improved with no harm using rearrangement techniques: The rearrangement methods, univariate and...
متن کاملInterval Iterative Methods for Computing
In this paper, we import interval method to the iteration for computing Moore-Penrose inverse of the full row (or column) rank matrix. Through modifying the classical Newton iteration by interval method, we can get better numerical results. The convergence of the interval iteration is proven. We also give some numerical examples to compare interval iteration with classical Newton iteration.
متن کاملReview of the methods for evaluating congestion in DEA and computing output losses due to congestion
Data Envelopment Analysis (DEA) is a branch of management, concerned with evaluating the performances of homogeneous Decision Making Units (DMUs). The performances of DMUs are affected by the amount of sources that DMUs used. Usually increases in inputs cause increases in outputs. However, there are situations where increase in one or more inputs generate a reduction in one or more outputs. In ...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ذخیره در منابع من قبلا به منابع من ذحیره شده{@ msg_add @}
عنوان ژورنال
دوره 18 شماره 2
صفحات 47- 60
تاریخ انتشار 2014-03
با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.
کلمات کلیدی برای این مقاله ارائه نشده است
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023