Probability And Statistical Inference,Used

Now Updated In A Valuable New Editionthis Userfriendly Book Focuses On Understanding The 'Why' Of Mathematical Statisticsprobability And Statistical Inference, Second Edition Introduces Key Probability And Statistical Concepts Through Nontrivial, Realworld Examples And Promotes The Developmentof Intuition Rather Than Simple Application. With Its Coverage Of The Recent Advancements In Computerintensive Methods, This Update Successfully Provides The Comprehensive Tools Needed To Develop A Broad Understanding Of The Theory Of Statisticsand Its Probabilistic Foundations. This Outstanding New Edition Continues To Encouragereaders To Recognize And Fully Understand The Why, Not Just The How, Behind The Concepts,Theorems, And Methods Of Statistics. Clear Explanations Are Presented And Appliedto Various Examples That Help To Impart A Deeper Understanding Of Theorems And Methodsfrom Fundamental Statistical Concepts To Computational Details.Additional Features Of This Second Edition Include:A New Chapter On Random Samplescoverage Of Computerintensive Techniques In Statistical Inference Featuring Monte Carlo And Resampling Methods, Such As Bootstrap And Permutation Tests, Bootstrap Confidence Intervals With Supporting R Codes, And Additional Examples Available Via The Book'S Ftp Sitetreatment Of Survival And Hazard Function, Methods Of Obtaining Estimators, And Bayes Estimatingrealworld Examples That Illuminate Presented Conceptsexercises At The End Of Each Sectionproviding A Straightforward, Contemporary Approach To Modernday Statistical Applications, Probability And Statistical Inference, Second Edition Is An Ideal Text For Advanced Undergraduate And Graduatelevel Courses In Probability And Statistical Inference. It Also Serves As A Valuable Reference For Practitioners In Any Discipline Who Wish To Gain Further Insight Into The Latest Statistical Tools.