Modelling, Inference And Data Analysis Brings Together Key Topics In Mathematical Statistics And Presents Them In A Rigorous Yet Accessible Manner It Covers Aspects Of Probability, Distribution Theory And Random Processes That Are Fundamental To A Proper Understanding Of Inference The Book Also Discusses The Properties Of Estimators Constructed From A Random Sample Of Ends, With Sections On Methods For Estimating Parameters In Time Series Models And Computationally Intensive Inferential Techniques The Text Challenges And Excites The Mathematically Able Students While Providing An Approachable Explanation Of Advanced Statistical Concepts For Students Who Struggle With Existing Texts.
Is a well-known author, some of his books are a fascination for readers like in the
- 608 pages
- Modelling, Inference and Data Analysis
- Jeremy Penzer
- 25 September 2017 Jeremy Penzer