ISBN: 9780123869821 | 012386982X

Format: HardcoverPublisher: Academic Pr

Pub. Date: 5/30/2014

Because Knetbooks knows college students. Our rental program is designed to save you time and money. Whether you need a textbook for a semester, quarter or even a summer session, we have an option for you. Simply select a rental period, enter your information and your book will be on its way!

- We have the lowest prices on thousands of popular textbooks
- Free shipping both ways on ALL orders
- Most orders ship within 48 hours
- Need your book longer than expected? Extending your rental is simple
- Our customer support team is always here to help

The book provides a solid, well-thought and well-balanced foundation in probability and statistical inference enabling the students to gain fundamental understanding of the subject. The material will be presented in a way so as to invoke thinking process in students, and help students in finding solutions to problems posed to them. Mathematics is required for understanding probability, and probability is needed to understand statistical inference. Fisher presented a way to introduce methodologies, and lay foundations in statistics while Neyman showed a way how mathematics should be used in statistics to prove things mathematically, and brought mathematical orientation in statistics. This book is a humble attempt to accomplish a gigantic task of incorporating both Fisher's, and Neyman's approaches by way of introducing methodologies with precise mathematical setup which can stand up to any mathematical settings. Topics covered in the book will be fairly conventional along with some recent topics in probability and statistical inference presented in a rigorous mathematical and conceptual way. The aim of the book is to use principles of probability theory, using tools of measure theory to build strong theoretical statistical inference. The topics will have wealth of material, and many topics will be given greater in-depth coverage. The conceptual structure of topics will be self-contained. Methodology will be illustrated using real-life applications. Proofs will be provided for almost all the theorems and statements. 2. Material will be backed by well-researched references. 3. More than 500 problems will be provided. 4. More than 300 worked out examples will be provided. 5. R code for most of the worked out examples will be provided in the text. 6. Numerous figures and tables will be used to help in understanding the concepts.