Sale!

Applied Sequential Methodologies Real World Examples with Data Analysis 1st Edition by Nitis Mukhopadhyay, Sujay Datta, Saibal Chattopadhyay 082475395X 9780824753955

Original price was: $50.00.Current price is: $35.00.

Applied Sequential Methodologies Real World Examples with Data Analysis 1st Edition Nitis Mukhopadhyay (Editor) Digital Instant Download

Author(s): Nitis Mukhopadhyay (Editor); Sujay Datta (Editor); Saibal Chattopadhyay (Editor)
ISBN(s): 9781482276589
Edition: 1
File Details: PDF, 32.18 MB
Year: 2004
Language: english
SKU: EB-11966480 Category: Tags: , ,

Applied Sequential Methodologies Real World Examples with Data Analysis 1st Edition by Nitis Mukhopadhyay, Sujay Datta, Saibal Chattopadhyay – Ebook PDF Instant Download/Delivery: 082475395X, 978-0824753955

Full download Applied Sequential Methodologies Real World Examples with Data Analysis 1st Edition after payment

 

Product details:

ISBN 10:        082475395X 
ISBN 13: 978-0824753955
Author:          Nitis Mukhopadhyay, Sujay Datta, Saibal Chattopadhyay

A technically precise yet clear presentation of modern sequential methodologies having immediate applications to practical problems in the real world, Applied Sequential Methodologies communicates invaluable techniques for data mining, agricultural science, genetics, computer simulation, finance, clinical trials, sonar signal detection, randomization, multiple comparisons, psychology, tracking, surveillance, and numerous additional areas of application.

Includes more than 500 references, 165 figures and tables, and over 25 pages of subject and author indexes.

Applied Sequential Methodologies brings the crucial nature of sequential approaches up to speed with recent theoretical gains, demonstrating their utility for solving real-life problems associated with

  • Change-point detection in multichannel and distributed systems
  • Best component selection for multivariate distributions
  • Multistate processes
  • Approximations for moving sums of discrete random variables
  • Interim and terminal analyses of clinical trials
  • Adaptive designs for longitudinal clinical trials
  • Slope estimation in measurement-error models
  • Tests for randomization and target tracking
  • Appropriate count of simulation runs
  • Stock price models
  • Orders of genes
  • Size and power control in multiple comparisons

    Authored by 33 leading scientists, this volume will greatly benefit sequential analysts, data analysts, applied statisticians, biometricians, clinical trialists, and upper-level undergraduate and graduate students in these disciplines.

 

Applied Sequential Methodologies Real World Examples with Data Analysis 1st Table of contents:

Chapter 1: Passive Acoustic Detection of Marine Mammals Using Page’s Test

  1. Introduction
  2. Acoustic Detection of Marine Mammals
  3. Methodology and Analysis
    • Algorithm Specifics
    • Detection Results
    • Localization
  4. Concluding Remarks
  5. Acknowledgment
  6. References

Chapter 2: Two-Stage Procedures for Selecting the Best Component of a Multivariate Exponential Distribution

  1. Introduction
  2. A Specific Application
    • The Rule RI
    • The Rule R2
  3. Methodologies and Analysis
    • Two-Stage Procedure for R1
    • Two-Stage Procedure for R2
  4. Concluding Remarks
  5. Acknowledgment
  6. References

Chapter 3: Sequential Randomization Tests

  1. Motivating Background
  2. Formulation and Review of Existing Procedures
  3. Sequential Estimation of Ap-Value
  4. An Illustrative Example
  5. Concluding Remarks
  6. Acknowledgment
  7. References

Chapter 4: Sequential Methods for Multistate Processes

  1. Introduction and the General Scheme
  2. Analysis and Prediction of Electricity Prices
  3. Methodology and Implementation
  4. Other Applications
  5. Concluding Remarks
  6. References

Chapter 5: Sequential Adaptive Designs for Clinical Trials with Longitudinal Responses

  1. Introduction
  2. Longitudinal Binary Responses
  3. Longitudinal Ordinal Responses
  4. Longitudinal Multivariate Ordinal Responses
  5. Incorporating Prognostic Factors
  6. Longitudinal Continuous Responses
  7. An Application
  8. Concluding Remarks
  9. Acknowledgment
  10. References

Chapter 6: Sequential Approaches to Data Mining

  1. Introduction
  2. Medical Insurance Proceeds
    • Clustering Tree
    • Stratification
    • Computational Complexity
  3. Sequential Fixed-Width Interval Estimation
  4. Concluding Remarks
  5. Acknowledgment
  6. References

Chapter 7: Approximations and Bounds for Moving Sums of Discrete Random Variables

  1. Introduction
  2. The Distribution and Expectation of Wk m
    • Bernoulli Model
    • Binomial and Poisson Models
  3. Numerical Results
  4. Concluding Remarks
  5. Acknowledgment
  6. References

Chapter 8: Estimation of the Slope in a Measurement-Error Model

  1. Introduction and Motivation
  2. Justification of Model and Literature Survey
  3. Methodologies and Analyses
    • A Sketch of the Proof of Theorem 8.3.2
  4. Concluding Remarks
  5. Appendix
  6. Acknowledgment
  7. References

Chapter 9: Kernel Density Estimation of Wool Fiber Diameter

  1. Introduction
  2. The Formulation
  3. Literature Review and Specific Aims
    • Specific Aims
  4. A Two-Stage Procedure
    • Bandwidth Selection
    • Initial Sample Size Selection
    • Properties of the Methodology
  5. Smooth Bootstrapping
  6. A Simulation Study
  7. Application to Wool Fiber Diameter Data
  8. Concluding Remarks
  9. Appendices
    • Appendix A: Biases, Variances, and Covariances of Density Estimator
    • Appendix B: The Computer Programs
    • Appendix C: A Typical AWTA Ltd Wool Certificate
  10. Acknowledgment
  11. References

Chapter 10: Financial Applications of Sequential Nonparametric Curve Estimation

  1. Introduction
  2. Capital Asset Price Model
  3. Nonparametric Regression Analysis
  4. Applications
  5. Technical Details
  6. Concluding Remarks
  7. References

Chapter 11: Interim and Terminal Analyses of Clinical Trials with Failure-Time Endpoints

  1. Introduction
  2. Interim and Terminal Analyses of BHAT Data
    • Analysis by the Data and Safety Monitoring Board
    • Further Analysis of BHAT Data
  3. Design and Analysis of Group (or Time) Sequential Trials
    • Time-Sequential Rank Statistics and Their Asymptotic Distributions
    • Two Time Scales and Some Stopping Rules
    • Theory of Group Sequential Boundaries
    • Stochastic Curtailment
    • Confidence Intervals in Group Sequential Designs
  4. Concluding Remarks
  5. References

Chapter 12: Applications of Sequential Tests to Target Tracking by Multiple Models

  1. Introduction
  2. An Example
  3. Formulation and Statistical Methods
    • Sequential Solutions for Problems Involving Two Model-Sets
    • Sequential Solutions for Multihypothesis Problems
  4. Aircraft Motion Example: Evaluating Performance
  5. Appendix
  6. Acknowledgment
  7. References

Chapter 13: A Sequential Procedure That Controls Size and Power in a Multiple Comparison Problem

  1. Introduction
  2. A Three-Stage Procedure
  3. A Validation Study via Simulation
  4. Concluding Remarks
  5. Acknowledgment
  6. References

Chapter 14: How Many Simulations Should One Run?

  1. Introduction: One-Sample T-Test
  2. Formulation, Loss, and Risk Functions, and Objective
    • The Formulation
    • A Relative Squared Error Loss Function
    • The Objective: Prespecified Proportional Accuracy
  3. A Purely Sequential Methodology
  4. A Two-Stage Methodology
    • The Motivation
  5. Computer Simulations
    • The Purely Sequential Methodology
    • The Two-Stage Methodology
    • Comparing the Two Methodologies and Conclusions
  6. Large-Sample Properties
    • The Purely Sequential Methodology
    • The Two-Stage Methodology
  7. Acknowledgment
  8. References

Chapter 15: Sequential Estimation in the Agricultural Sciences

  1. Introduction
  2. A Specific Application
  3. Methodology and Analysis
  4. Concluding Remarks
  5. Acknowledgment
  6. References

Chapter 16: Whither Group-Sequential or Time-Sequential Interim Analysis in Clinical Trials?

  1. Introduction
  2. Interim Analysis: Genesis and Anatomy
  3. Statistical Surveillance
  4. Evolution of Time Sequential Methods
  5. Concluding Remarks
  6. Acknowledgment
  7. References

Chapter 17: Change-Point Detection in Multichannel and Distributed Systems

  1. Introduction
  2. Multichannel Change Detection: Theory
    • Problem Formulation
    • Detection Procedure and False Alarm Rate
    • Asymptotic Performance for Low FAR
    • Composite Hypotheses: Adaptive Detection Procedures
  3. Detection in Distributed Sensor Systems
  4. Applications and Experimental Results
    • Target Detection and Tracking in Surveillance Systems
    • Rapid Attack/Intrusion Detection
    • Decentralized Detection Example and Simulation Results
  5. Concluding Remarks
  6. Appendix
    • Proof of Theorem 17.2.1
    • Proof of Theorem 2
  7. Acknowledgment
  8. References

Chapter 18: Extension of Hochberg’s Two-Stage Multiple Comparison Method

  1. Introduction
  2. Application to a Schizophrenia Study
  3. Methodology
  4. Simulation Results
  5. Concluding Remarks
  6. References

Chapter 19: Sequential Testing in the Agricultural Sciences

  1. Introduction
  2. Greenbugs on Sorghum
  3. The SPRT
  4. The 2-SPRT
  5. Binomial Sampling Based on the Negative Binomial
  6. Binomial Sampling Based on an Ecological Model
  7. Concluding Remarks
  8. Acknowledgment
  9. References

Chapter 20: Bayesian Sequential Procedures For Ordering Genes

  1. Introduction: The Gene Ordering Problem
  2. Basic Model of Independence
    • Orders, Gametes, and Recombination
    • The General Case
  3. Bayesian Testing
    • Posterior Order Probabilities
    • Bayesian Sequential Testing
    • Bayesian Testing with Fixed Sample Sizes
  4. Stepwise Ordering
    • Stepwise Search for Maximal Posterior (SSMAP)
  5. Applications in Genetic Counseling

People also search for Applied Sequential Methodologies Real World Examples with Data Analysis 1st:

sequential methodology
which model uses a sequential design process
basic research real world example
real world example of applied research
explanatory sequential approach

Tags:

Nitis Mukhopadhyay,Sujay Datta,Saibal Chattopadhyay,Applied,Sequential,Methodologies,Real World,Examples,Data Analysis 1st