An invariant approach to statistical analysis of shapes. (©2001)
- Record Type:
- Book
- Title:
- An invariant approach to statistical analysis of shapes. (©2001)
- Main Title:
- An invariant approach to statistical analysis of shapes
- Further Information:
- Note: Subhash R. Lele, Joan T. Richtsmeier.
- Other Names:
- Lele, Subhash
Richtsmeier, Joan T - Contents:
- INTRODUCTION; A Brief History of Morphometrics; Foundations for the Study of Biological Forms; Description of the data Sets; MORPHOMETRIC DATA; Types of Morphometric Data; Landmark Homology and Correspondence; Collection of Landmark Coordinates; Reliability of Landmark Coordinate Data; Summary; STATISTICAL MODELS FOR LANDMARK COORDINATE DATA; Statistical Models in General; Models for Intra-Group Variability; Effect of Nuisance Parameters; Invariance and Elimination of Nuisance Parameters; A Definition of Form; Coordinate System Free Representation of Form; Estimability of the Mean Form and Variance; Analysis of Example Data Sets; Perspective: Some Comments of EDMA versus other Morphometric Methods; Summary; Part 2: Statistical Theory for the Analysis of Single Population; The Perturbation Model; Invariance and the elimination of Nuisance Parameters; Estimation of Parameters in the Single Sample Case; Computational Algorithms; STATSTICAL METHODS FOR COMPARISON OF FORMS; Limiting Factors in Morphometrics; Comparing Two Forms: General Set-Up; Superimposition-Based Approaches and Invariance; Transformational Grids for Deformation-Based Approaches and Invariance; The Relationship between Mathematical and Scientific Invariance; An Invariant Approach: Euclidean Distance Matrix Analysis (EDMA); Statistical Hypothesis Testing for Shape Difference; Methods for Exploring the Form Difference Matrix; Example Data Analyses; Summary; Part 2: Statistical Theory for the Comparison of TwoINTRODUCTION; A Brief History of Morphometrics; Foundations for the Study of Biological Forms; Description of the data Sets; MORPHOMETRIC DATA; Types of Morphometric Data; Landmark Homology and Correspondence; Collection of Landmark Coordinates; Reliability of Landmark Coordinate Data; Summary; STATISTICAL MODELS FOR LANDMARK COORDINATE DATA; Statistical Models in General; Models for Intra-Group Variability; Effect of Nuisance Parameters; Invariance and Elimination of Nuisance Parameters; A Definition of Form; Coordinate System Free Representation of Form; Estimability of the Mean Form and Variance; Analysis of Example Data Sets; Perspective: Some Comments of EDMA versus other Morphometric Methods; Summary; Part 2: Statistical Theory for the Analysis of Single Population; The Perturbation Model; Invariance and the elimination of Nuisance Parameters; Estimation of Parameters in the Single Sample Case; Computational Algorithms; STATSTICAL METHODS FOR COMPARISON OF FORMS; Limiting Factors in Morphometrics; Comparing Two Forms: General Set-Up; Superimposition-Based Approaches and Invariance; Transformational Grids for Deformation-Based Approaches and Invariance; The Relationship between Mathematical and Scientific Invariance; An Invariant Approach: Euclidean Distance Matrix Analysis (EDMA); Statistical Hypothesis Testing for Shape Difference; Methods for Exploring the Form Difference Matrix; Example Data Analyses; Summary; Part 2: Statistical Theory for the Comparison of Two Forms; Deformation Approach to Form Difference and Lack of Invariance; Superimposition Methods for Comparison of Forms and Lack of Invariance; Matrix Transformations, Side Conditions, Likelihood, and Identifiability Issues; Form Comparisons Based on Distances; Statistical Properties of the Estimators of Mean Form, Mean Form Difference, and Mean Shape Difference Matrices; Computational Algorithms; THE STUDY OF GROWTH; Longitudinal versus Cross-Sectional Data; Assigning Age and Forming Age-Related Groups; EDMA Applied to the Study of Growth; Growth Difference Matrix Analysis: Comparing Patterns of Growth using Growth Matrices; Example Data Analyses; Producing Hypothetical Morphologies from Forms and Growth Patterns; Summary; CLASSIFICATION, CLUSTERING AND MISCELLANEOUS TOPICS; Classification Problem; Methods of Classification; Dissimilarity measures for Landmark Coordinate Data; Classification Example Analysis; Cluster Analysis; Clustering Example Analysis; FURTHER APPLICATIONS OF EDMA; The Study of Asymmetry; Comparisons of Molecular Structures; Detection of Phylogenetic Signal; … (more)
- Publisher Details:
- Boca Raton, Fla : Chapman & Hall/CRC
- Publication Date:
- 2001
- Copyright Date:
- 2001
- Extent:
- 1 online resource (308 pages), illustrations
- Subjects:
- 571.3/01/5195
Morphology -- Statistical methods
Statistics as Topic
Anatomy
Morphology -- Mathematics
Morphologie -- Méthodes statistiques
Morphologie -- Mathématiques
SCIENCE -- Life Sciences -- Anatomy & Physiology
Morphology -- Statistical methods
Electronic books - Languages:
- English
- ISBNs:
- 1420036173
9781420036176 - Related ISBNs:
- 0849303192
9780849303197 - Notes:
- Note: Includes bibliographical references and index.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.160334
- Ingest File:
- 01_043.xml