Randomization, Bootstrap and Monte Carlo Methods in Biology / Edition 3

Hardcover (Print)
Used and New from Other Sellers
Used and New from Other Sellers
from $91.79
Usually ships in 1-2 business days
(Save 16%)
Other sellers (Hardcover)
  • All (7) from $91.79   
  • New (6) from $91.79   
  • Used (1) from $137.58   


Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. This new edition of the bestselling Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates the value of a number of these methods with an emphasis on biological applications. This textbook focuses on three related areas in computational statistics: randomization, bootstrapping, and Monte Carlo methods of inference. The author emphasizes the sampling approach within randomization testing and confidence intervals. Similar to randomization, the book shows how bootstrapping, or resampling, can be used for confidence intervals and tests of significance. It also explores how to use Monte Carlo methods to test hypotheses and construct confidence intervals. New to the Third Edition Updated information on regression and time series analysis, multivariate methods, survival and growth data as well as software for computational statistics References that reflect recent developments in methodology and computing techniques Additional references on new applications of computer-intensive methods in biology Providing comprehensive coverage of computer-intensive applications while also offering data sets online, Randomization, Bootstrap and Monte Carlo Methods in Biology, Third Edition supplies a solid foundation for the ever-expanding field of statistics and quantitative analysis in biology.

Read More Show Less

Product Details

  • ISBN-13: 9781584885412
  • Publisher: Taylor & Francis
  • Publication date: 8/15/2006
  • Series: Texts in Statistical Science Series
  • Edition description: REV
  • Edition number: 3
  • Pages: 480
  • Product dimensions: 6.10 (w) x 9.30 (h) x 1.30 (d)

Table of Contents

The Idea of a Randomization Test
Examples of Randomization Tests
Aspects of Randomization Testing Raised by the Examples
Confidence Limits by Randomization
Applications of Randomization in Biology and Related Areas
Randomization and Observational Studies
Chapter Summary
The Jackknife Estimator
Applications of Jackknifing in Biology
Chapter Summary
Resampling with Replacement
Standard Bootstrap Confidence Limits
Simple Percentile Confidence Limits
Bias-Corrected Percentile Confidence Limits
Accelerated Bias-Corrected Percentile Limits
Other Methods for Constructing Confidence Intervals
Transformations to Improve Bootstrap-t Intervals
Parametric Confidence Intervals
A Better Estimate of Bias
Bootstrap Tests of Significance
Balanced Bootstrap Sampling
Applications of Bootstrapping in Biology
Further Reading
Chapter Summary
Monte Carlo Tests
Generalized Monte Carlo Tests
Implicit Statistical Models
Applications of Monte Carlo Methods in Biology
Chapter Summary
Questions about Computer-Intensive Methods
Number of Random Sets of Data Needed for a Test
Determining a Randomization Distribution Exactly
The Number of Replications for Confidence Intervals
More Efficient Bootstrap Sampling Methods
The Generation of Pseudo-Random Numbers
The Generation of Random Permutations
Chapter Summary
The Paired Comparisons Design
The One-Sample Randomization Test
The Two-Sample Randomization Test
Bootstrap Tests
Randomizing Residuals
Comparing the Variation in Two Samples
A Simulation Study
The Comparison of Two Samples on Multiple Measurements
Further Reading
Chapter Summary
One-Factor Analysis of Variance
Tests for Constant Variance
Testing for Mean Differences Using Residuals
Examples of More Complicated Types of Analysis of Variance
Procedures for Handling Unequal Variances
Other Aspects of Analysis of Variance
Further Reading
Chapter Summary
Simple Linear Regression
Randomizing Residuals
Testing for a Nonzero ß Value
Confidence Limits for ß
Multiple Linear Regression
Alternative Randomization Methods with Multiple Regression
Bootstrapping and Jackknifing with Regression
Further Reading
Chapter Summary
Testing for Association between Distance Matrices
The Mantel Test
Sampling the Randomization Distribution
Confidence Limits for Regression Coefficients
The Multiple Mantel Test
Other Approaches with More Than Two Matrices
Further Reading
Chapter Summary
Spatial Data Analysis
The Study of Spatial Point Patterns
Mead's Randomization Test
Tests for Randomness Based on Distances
Testing for an Association between Two Point Patterns
The Besag-Diggle Test
Tests Using Distances Between Points
Testing for Random Marking
Further Reading
Chapter Summary
Randomization and Time Series
Randomization Tests for Serial Correlation
Randomization Tests for Trend
Randomization Tests for Periodicity
Irregularly Spaced Series
Tests on Times of Occurrence
Discussion on Procedures for Irregular Series
Bootstrap Methods
Monte Carlo Methods
Model-Based vs. Moving-Block Resampling
Further Reading
Chapter Summary
Univariate and Multivariate Tests
Sample Mean Vectors and Covariance Matrices
Comparison of Sample Mean Vectors
Chi-Squared Analyses for Count Data
Comparison of Variations for Several Samples
Principal Components Analysis and Other
One-Sample Methods
Discriminant Function Analysis
Further Reading
Chapter Summary
Bootstrapping Survival Data
Bootstrapping for Variable Selection
Bootstrapping for Model Selection
Group Comparisons
Growth Data
Further Reading
Chapter Summary
The Construction of Tests in Nonstandard Situations
Species Co-Occurrences on Islands
Alternative Switching Algorithms
Examining Time Changes in Niche Overlap
Probing Multivariate Data with Random Skewers
Ant Species Sizes in Europe
Chapter Summary
The Bayesian Approach to Data Analysis
The Gibbs Sampler and Related Methods
Biological Applications
Further Reading
Chapter Summary
Monte Carlo Methods in General
Classical vs. Bayesian Inference

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star


4 Star


3 Star


2 Star


1 Star


Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation


  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)