A Course in Mathematical Statistics, Second Edition, contains enough material for a year-long course in probability and statistics for advanced undergraduate or first-year graduate students, or it can be used independently for a one-semester (or even one-
A Course in Mathematical Statistics, Second Edition, contains enough material for a year-long course in probability and statistics for advanced undergraduate or first-year graduate students, or it can be used independently for a one-semester (or even one-quarter) course in probability alone. It bridges the gap between high and intermediate level texts so students without a sophisticated mathematical background can assimilate a fairly broad spectrum of the theorems and results from mathematical statistics. The coverage is extensive, and consists of probability and distribution theory, and statistical inference.* Contains 25% new material* Includes the most complete coverage of sufficiency * Transformation of Random Vectors* Sufficiency / Completeness / Exponential Families* Order Statistics* Elements of Nonparametric Density Estimation* Analysis of Variance (ANOVA)* Regression Analysis* Linear Models
Our site uses cookies and similar technologies to offer you a better experience. We use analytical cookies (our own and third party) to understand and improve your browsing experience, and advertising cookies (our own and third party) to send you advertisements in line with your preferences. To modify or opt-out of the use of some or all of our cookies, please go to “Manage Cookies” or view our Cookie Policy to find out more. By clicking “Accept all” you consent to the use of these cookies.