By
George Roussas, University of California, Davis
Description
Probability models, statistical methods, and the information to be gained from them is vital for work in business, engineering, sciences
(including social and behavioral), and other fields. Data must be properly collected, analyzed and interpreted in order for the results
to be used with confidence.
Roussas introduces readers with no prior knowledge in probability or statistics, to a thinking process
to guide them toward the best solution to a posed question or situation. An Introduction to Probability and Statistical Inference provides
a plethora of examples for each topic discussed, giving the reader more experience in applying statistical methods to different situations.
Audience:
Researchers and practitioners in engineering, business, social sciences or agriculture.
