Probability Theory: The Logic of Science by Jaynes, E. T. | Hardcover | Science

About this book Going beyond the conventional mathematics of probability theory, this study views the subject in a wider context. It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information Table Of Contents: Editor's forewordPrefacePt. IPrinciples and elementary applications1Plausible reasoning32The quantitative rules243Elementary sampling theory514Elementary hypothesis testing865Queer uses for probability theory1196Elementary parameter estimation1497The central, Gaussian or normal distribution1988Sufficiency, ancillarity, and all that2439Repetitive experiments: probability and frequency27010Physics of 'random experiments'314Pt. IIAdvanced applications11Discrete prior probabilities: the entropy principle34312Ignorance priors and transformation groups37213Decision theory, historical background39714Simple applications of decision theory42615Paradoxes of probability theory45116Orthodox methods: historical background49017Principles and pathology of orthodox statistics50918The A[subscript p] distribution and rule of succession55319Physical measurements58920Model comparison60121Outliers and robustness61522Introduction to communication theory627App. AOther approaches to probability theory651App. BMathematical formalities and style661App. CConvolutions and cumulants677References683Bibliography705Author index721Subject index724 All Marketplace (--) New (--) Used (--) CLOSE X LOADING... We're sorry. Information from our Trusted Marketplace Sellers is currently unavailable. To try again, please visit the B&N Marketplace. Special Features: Probability Theory Related topics Science/Physics - Mathematical & Computational.