Mystatlab

Mystatlab Engage students with immersive content, tools, and experiences. Part of the world's leading collection of online homework, tutorial, and assessment products, Pearson MyLab Statistics is designed with a single purpose in mind: to improve the results of all higher education students, one student at a time. With input fromrnALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products.rnBook DescriptionrnMyStatLab from Pearson is the world's leading online resource in statistics, integrating interactive homework, assessment, and media in a flexible, easy to use format. MyStatLab is a course management system that delivers proven results in helping individual students succeed. It provides engaging experiences that personalize, stimulate, and measure learning for each student. Tools are embedded to make it easy to integrate statistical software into the course. And, it comes from an experienced partner with educational expertise and an eye on the future. MyStatLab leverages the power of the web-based statistical software, StatCrunch, and includes access to www.StatCrunch.com. To learn more about how MyStatLab combines proven learning applications with powerful assessment, visit www.mystatlab.com or contact your Pearson representative.rnAbout the AuthorrnNEIL D. PEARSON, PhD, is an Associate Professor of Finance at the University of Illinois at Urbana-Champaign. His research includes work on the development, estimation, and evaluation of models for pricing and hedging various derivatives and other financial instruments. Dr. Pearson has published papers in a number of academic journals, and is an Associate Editor of both the Journal of Financial Economics and the Journal of Financial and Quantitative Analysis. He has consulted for a number of U.S. and international banks, working on term structure models, the evaluation of derivatives pricing models, and issues that arise in the computation of Value-at-Risk measures. He received his PhD from the Massachusetts Institute of Technology. --This text refers to an out of print or unavailable edition of this title.