Statistical Planning and Inference

Explore the foundations of, and cutting-edge developments in, statistics

Statistical Planning and Inference: Concepts and Applications delivers a robust introduction to statistical planning and inference, including classical and computer age developments in statistical science. The book examines the challenges faced in statistical planning and inference, exploring the optimum methods identifying limitations and commonly encountered pitfalls.

It addresses linear and non-linear statistical inference and discusses noise-effect reduction, error rates, balanced and unbalanced data, model selection, discrimination and classification, truncated and censored data, and experimental designs.

Each chapter offers readers problems and solutions and illustrative examples to introduce the concepts and methods discussed within.

The book offers:

• Analysis of both classical theory and modern developments in the field of statistical inference and planning
• Expansive discussions of linear and non-linear statistical inference
• Statistical problems and solutions to test the reader's progress through and retention of the material contained within

Aimed at practitioners and researchers in the field of statistics, Statistical Planning and Inference: Concepts and Applications is also a must-read resource for graduate students, professors, and researchers in the life sciences, agriculture, psychology, education and measurement, sociology, computer and engineering sciences, and all other fields that rely on statistical concepts.

Statistical Planning and Inference features in the following genres: Mathematics

Statistical Planning and Inference is available in Hardback

Statistical Planning and Inference was written by Subir Ghosh and published by John Wiley & Sons, Inc. an imprint of Wiley

Statistical Planning and Inference has 512 pages

Yes it is part of Wiley Series in Probability and Statistics series

£62.96