- 0 Results
Lowest price: € 70.90, highest price: € 148.00, average price: € 113.36
1
Order
at booklooker.de
€ 70.90
Shipment: € 0.00
Order
Edwards, David:

Introduction to Graphical Modelling David Edwards Buch Springer Texts in Statistics Englisch 2000 - hardcover

2000, ISBN: 9780387950549

[ED: Gebunden], [PU: Springer-Verlag GmbH], A useful introduction to this topic for both students and researchers, with an emphasis on applications and practicalities rather than on a for… More...

Shipping costs:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00) Buchbär
2
Introduction to Graphical Modelling (Springer Texts in Statistics) - Edwards, David
Order
at Amazon.de (Intern. Bücher)
€ 148.00
Shipment: € 3.00
Order

Edwards, David:

Introduction to Graphical Modelling (Springer Texts in Statistics) - hardcover

2000, ISBN: 9780387950549

Springer, Gebundene Ausgabe, Auflage: 2nd ed. 2000, 350 Seiten, Publiziert: 2000-06-15T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 05954728, 4.34 kg, Verkaufsrang: 12749, Informatik, … More...

Gut Shipping costs:Auf Lager. Die angegebenen Versandkosten können von den tatsächlichen Kosten abweichen. (EUR 3.00) TML Bookstore
3
Introduction to Graphical Modelling (Springer Texts in Statistics) - Edwards, David
Order
at Amazon.de (Intern. Bücher)
€ 95.22
Shipment: € 3.00
Order
Edwards, David:
Introduction to Graphical Modelling (Springer Texts in Statistics) - hardcover

2000

ISBN: 9780387950549

Springer, Gebundene Ausgabe, Auflage: 2nd ed. 2000, 350 Seiten, Publiziert: 2000-06-15T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 05954728, 4.34 kg, Verkaufsrang: 12749, Informatik, … More...

IN - IndiaShipping costs:Auf Lager. Die angegebenen Versandkosten können von den tatsächlichen Kosten abweichen. (EUR 3.00) Best Book Best Price
4
Introduction to Graphical Modelling - David Edwards
Order
at Hugendubel.de
€ 134.99
Shipment: € 0.00
Order
David Edwards:
Introduction to Graphical Modelling - hardcover

2000, ISBN: 0387950540

Introduction to Graphical Modelling ab 134.99 € als gebundene Ausgabe: Auflage 2000. Aus dem Bereich: Bücher, Wissenschaft, Mathematik, Medien > Bücher, SPRINGER NATURE

Nr. 3245536. Shipping costs:, , DE. (EUR 0.00)
5
Introduction to Graphical Modelling - David Edwards
Order
at lehmanns.de
€ 117.69
Shipment: € 0.00
Order
David Edwards:
Introduction to Graphical Modelling - hardcover

2000, ISBN: 9780387950549

Buch, Hardcover, 2nd ed. 2000, [PU: Springer-Verlag New York Inc.], Springer-Verlag New York Inc., 2000

Shipping costs:sofort lieferbar. (EUR 0.00)

Details of the book
Introduction to Graphical Modelling (Springer Texts in Statistics)

A useful introduction to this topic for both students and researchers, with an emphasis on applications and practicalities rather than on a formal development. It is based on the popular software package for graphical modelling, MIM, freely available for downloading from the Internet. Following a description of some of the basic ideas of graphical modelling, subsequent chapters describe particular families of models, including log-linear models, Gaussian models, and models for mixed discrete and continuous variables. Further chapters cover hypothesis testing and model selection. Chapters 7 and 8 are new to this second edition and describe the use of directed, chain, and other graphs, complete with a summary of recent work on causal inference.

Details of the book - Introduction to Graphical Modelling (Springer Texts in Statistics)


EAN (ISBN-13): 9780387950549
ISBN (ISBN-10): 0387950540
Hardcover
Publishing year: 2000
Publisher: Springer
333 Pages
Weight: 0,801 kg
Language: eng/Englisch

Book in our database since 2007-05-27T04:56:54-04:00 (New York)
Detail page last modified on 2021-10-10T14:54:22-04:00 (New York)
ISBN/EAN: 0387950540

ISBN - alternate spelling:
0-387-95054-0, 978-0-387-95054-9


Information from Publisher

Author: David Edwards
Title: Springer Texts in Statistics; Introduction to Graphical Modelling
Publisher: Springer; Springer US
335 Pages
Publishing year: 2000-06-15
New York; NY; US
Weight: 1,970 kg
Language: English
117,69 € (DE)
120,99 € (AT)
130,00 CHF (CH)
POD

BB; Book; Hardcover, Softcover / Mathematik/Sonstiges; Mathematische Modellierung; Verstehen; Graph; Graphical Modelling; Graphical Models; Likelihood; Multivariate Analysis; Sim; Variance; algorithms; C; Mathematical Modeling and Industrial Mathematics; Statistical Theory and Methods; Mathematical Modeling and Industrial Mathematics; Statistical Theory and Methods; Mathematics and Statistics; Mathematik für Ingenieure; Wahrscheinlichkeitsrechnung und Statistik; SA; BC; EA

1 Preliminaries.- 1.1 Independence and Conditional Independence.- 1.2 Undirected Graphs.- 1.3 Data, Models, and Graphs.- 1.4 Simpson’s Paradox.- 1.5 Overview of the Book.- 2 Discrete Models.- 2.1 Three-Way Tables.- 2.1.1 Example: Lizard Perching Behaviour.- 2.2 Multi-Way Tables.- 2.2.1 Likelihood Equations.- 2.2.2 Deviance.- 2.2.3 Graphs and Formulae.- 2.2.4 Example: Risk Factors for Coronary Heart Disease.- 2.2.5 Example: Chromosome Mapping.- 2.2.6 Example: University Admissions.- 3 Continuous Models.- 3.1 Graphical Gaussian Models.- 3.1.1 Likelihood.- 3.1.2 Maximum Likelihood Estimation.- 3.1.3 Deviance.- 4 3.1.4 Example: Digoxin Clearance.- 3.1.5 Example: Anxiety and Anger.- 3.1.6 Example: Mathematics Marks.- 3.2 Regression Models.- 3.2.1 Example: Determinants of Bone Mineral Content.- 4 Mixed Models.- 4.1 Hierarchical Interaction Models.- 4.1.1 Models with One Discrete and One Continuous Variable.- 4.1.2 A Model with Two Discrete and Two Continuous Variables.- 4.1.3 Model Formulae.- 4.1.4 Formulae and Graphs.- 4.1.5 Maximum Likelihood Estimation.- 4.1.6 Deviance.- 4.1.7 A Simple Example.- 4.1.8 Example: A Drug Trial Using Mice.- 4.1.9 Example: Rats’ Weights.- 4.1.10 Example: Estrogen and Lipid Metabolism.- 4.2 Breaking Models into Smaller Ones.- 4.3 Mean Linearity.- 4.4 Decomposable Models.- 4.5 CG-Regression Models.- 4.5.1 Example: Health Status Indicators.- 4.5.2 Example: Side Effects of an Antiepileptic Drug.- 4.6 Incomplete Data.- 4.6.1 Assumptions for Missing Data.- 4.6.2 Some Latent Variable Models.- 4.6.3 Example: The Components of a Normal Mixture.- 4.6.4 Example: Mathematics Marks, Revisited.- 4.7 Discriminant Analysis.- 4.7.1 Example: Breast Cancer.- 5 Hypothesis Testing.- 5.1 An Overview.- 5.2 X2-Tests.- 5.3 F-Tests.- 5.4 Exact Conditional Tests.- 5.5 Deviance-Based Tests.- 5.6 Permutation F-Test.- 5.7 Pearson x2-Test.- 5.8 Fisher’s Exact Test.- 5.9 Rank Tests.- 5.10 Wilcoxon Test.- 5.11 Kruskal-Wallis Test.- 5.12 Jonckheere-Terpstra Test.- 5.13 Tests for Variance Homogeneity.- 5.14 Tests for Equality of Means Given Homogeneity.- 5.15 Hotelling’s T2.- 6 Model Selection and Criticism.- 6.1 Stepwise Selection.- 6.1.1 Forward Selection.- 6.1.2 Restricting Selection to Decomposable Models.- 6.1.3 Using F-Tests.- 6.1.4 Coherence.- 6.1.5 Other Variants of Stepwise Selection.- 6.2 The EH-Procedure.- 6.2.1 Example: Estrogen and Lipid Metabolism, Continued.- 6.3 Selection Using Information Criteria.- 6.4 Comparison of the Methods.- 6.5 Box-Cox Transformations.- 6.6 Residual Analysis.- 6.7 Dichotomization.- 7 Directed Graphs and Their Models.- 7.1 Directed Acyclic Graphs.- 7.1.1 Markov Properties of DAGs.- 7.1.2 Modelling with DAGs.- 7.1.3 Example: Side Effects of Neuroleptics.- 7.2 Chain Graphs.- 7.2.1 Markov Properties of Chain Graphs.- 7.2.2 Modelling with Chain Graphs.- 7.2.3 Example: Membership of the “Leading Crowd”.- 7.3 Local Independence Graphs.- 7.4 Covariance Graphs.- 7.5 Chain Graphs with Alternative Markov Properties.- 7.6 Reciprocal Graphs.- 8 Causal Inference.- 8.1 Philosophical Aspects.- 8.2 Rubin’s Causal Model.- 8.2.1 Estimating Causal Effects.- 8.2.2 Ignorability.- 8.2.3 Propensity Score.- 8.2.4 Causal Hypothesis Testing.- 8.3 Pearl’s Causal Graphs.- 8.3.1 A Simple Causal model.- 8.3.2 Causal Graphs.- 8.3.3 The Back-Door Criterion.- 8.3.4 The Front-Door Criterion.- 8.4 Discussion.- 8.4.1 Comparison of the Two Approaches.- 8.4.2 Operational Implications.- A The MINI Command Language.- A.1 Introduction.- A.2 Declaring Variables.- A.3 Undirected Models.- A.3.1 Deleting Edges.- A.3.2 Adding Edges.- A.3.3 Other Model-Changing Commands.- A.3.4 Model Properties.- A.4 Block-Recursive Models.- A.4.1 Defining the Block Structure.- A.4.2 Block Mode.- A.4.3 Defining Block-Recursive Models.- A.4.4 Working with Component Models.- A.5 Reading and Manipulating Data.- A.5.1 Reading Casewise Data.- A.5.2 Reading Counts, Means, and Covariances.- A.5.3 Transforming Data.- A.5.4 Restricting Observations.- A.5.5 Generating Raw Data.- A.5.6 Deleting Variables.- A.6 Estimation.- A.6.1 Undirected Models (Complete Data).- A.6.2 Undirected Models (Missing Data).- A.6.3 CG-Regression Models.- A.7 Hypothesis Testing.- A.7.1 x2-Tests.- A.7.2 Test of Homogeneity.- A.7.3 F-Tests.- A.7.4 Edge Deletion Tests.- A.7.5 Edge Deletion F-Tests.- A.7.6 Exact Tests.- A.7.7 Symmetry Tests.- A.7.8 Randomisation Tests.- A.8 Model Selection.- A.8.1 Stepwise Selection.- A.8.2 The EH-Procedure.- A.8.3 Selection Using Information Criteria.- A.9 The Box-Cox Transformation.- A.10 Residuals.- A.11 Discriminant Analysis.- A.12 Utilities.- A.12.1 File Input.- A.12.2 The Workspace.- A.12.3 Printing Information.- A.12.4 Displaying Parameter Estimates.- A.12.5 Displaying Summary Statistics.- A.12.6 Setting the Maximum Model.- A.12.7 Fixing Variables.- A.12.8 Macros.- B Implementation Specifics of MB’!.- B.1 Calling MIM.- B.2 The Main Menu.- B.3 Entering Commands and Navigating the Work Area.- B.4 The Built-In Editor.- B.5 Interactive Data Entry.- B.6 Independence Graphs.- B.7 Simple Data Graphics.- B.7.1 Scatter Plots.- B.7.2 Histograms.- B.7.3 Box Plots.- B.8 Graphics Export Formats.- B.9 Direct Database Access.- B.10 Program Intercommunication.- C On Multivariate Symmetry.- D On the Estimation Algorithms.- D.1 The MIPS Algorithm.- D.1.1 Notation.- D.1.2 The Likelihood Equations.- D.1.3 The General Algorithm.- D.1.4 The A-Collapsible Variant.- D.1.5 The Mean Linear Variant.- D.1.6 The Q-Equivalent Variant.- D.1.7 The Step-Halving Variant.- D.2 The EM-Algorithm.- D.3 The ME-Algorithm.- References.
Graphical models are of great interest in statistics and computer science. This book is more oriented towards applications than other books on this subject, and it will be of interest to researchers and graduate students in both of these areas.

More/other books that might be very similar to this book

Latest similar book:
9781468404814 Introduction to Graphical Modelling (David Edwards)


< to archive...