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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.
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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