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Sequential Methods And Their Applications 1st Edition Nitis Mukhopadhyay

  • SKU: BELL-2456418
Sequential Methods And Their Applications 1st Edition Nitis Mukhopadhyay
$ 31.00 $ 45.00 (-31%)

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Sequential Methods And Their Applications 1st Edition Nitis Mukhopadhyay instant download after payment.

Publisher: Chapman and Hall/CRC
File Extension: PDF
File size: 1.93 MB
Pages: 512
Author: Nitis Mukhopadhyay, Basil M. de Silva
ISBN: 9781584881025, 158488102X
Language: English
Year: 2002
Edition: 1

Product desciption

Sequential Methods And Their Applications 1st Edition Nitis Mukhopadhyay by Nitis Mukhopadhyay, Basil M. De Silva 9781584881025, 158488102X instant download after payment.

Interactively Run Simulations and Experiment with Real or Simulated Data to Make Sequential Analysis Come Alive Taking an accessible, nonmathematical approach to this field, Sequential Methods and Their Applications illustrates the efficiency of sequential methodologies when dealing with contemporary statistical challenges in many areas. The book first explores fixed sample size, sequential probability ratio, and nonparametric tests. It then presents numerous multistage estimation methods for fixed-width confidence interval as well as minimum and bounded risk problems. The book also describes multistage fixed-size confidence region methodologies, selection methodologies, and Bayesian estimation. Through diverse applications, each chapter provides valuable approaches for performing statistical experiments and facilitating real data analysis. Functional in a variety of statistical problems, the authors’ interactive computer programs show how the methodologies discussed can be implemented in data analysis. Each chapter offers examples of input, output, and their interpretations. Available online, the programs provide the option to save some parts of an output so readers can revisit computer-generated data for further examination with exploratory data analysis. Through this book and its computer programs, readers will better understand the methods of sequential analysis and be able to use them in real-world settings.

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