System Upgrade on Tue, May 28th, 2024 at 2am (EDT)
Existing users will be able to log into the site and access content. However, E-commerce and registration of new users may not be available for up to 12 hours.For online purchase, please visit us again. Contact us at customercare@wspc.com for any enquiries.
Bestsellers
Elementary Stochastic Calculus, with Finance in View
by Thomas Mikosch
A First Look at Stochastic Processes
by Jeffrey S Rosenthal
Results: 1 - 1of1
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
Chapter 6: Introduction to Sampling Theory
Preview AbstractIn the previous chapters, we have discussed probability theory. In this chapter, we will introduce some basic concepts in statistics. The basic idea of statistical inference is to assume that the observed data is generated from some unknown probability distribution, which is often assumed to have a known functional form up to some unknown parameters. The purpose of statistical inference is to develop theory and methods to make inference on the unknown parameters based on observed data.