Multivariate Dependencies by Dr Cox
Large observational studies involving research questions that require the measurement of several features on each individual arise in many fields including the social and medical sciences. This book sets out both the general concepts and the more technical statistical issues involved in analysis and interpretation. Numerous illustrative examples are described in outline and four studies are discussed in some detail. The use of graphical representations of dependencies and independencies among the features under study is stressed, both to incorporate available knowledge at the planning stage of an analysis and to summarize aspects important for interpretation after detailed statistical analysis is complete. This book is aimed at research workers using statistical methods as well as statisticians involved in empirical research.-
Statistical Inference
-
Practical Risk Theory for Actuaries
-
Analysis of Survival Data
-
Generalized Linear Models with Random Effects
-
An Introduction to the Bootstrap
-
Queues
-
Transformation and Weighting in Regression
-
Asymptotic Analysis of Mixed Effects Models
-
Statistics for Long-Memory Processes
-
Analysis of Infectious Disease Data
-
ROC Curves for Continuous Data
-
Missing Data in Longitudinal Studies
-
Analyzing and Modeling Rank Data
-
Stochastic Geometry
-
Semimartingales and their Statistical Inference
-
Accelerated Life Models
-
Statistical Analysis of Spatial and Spatio-Temporal Point Patterns
-
Quasi-Least Squares Regression
-
Large Covariance and Autocovariance Matrices
-
Design and Analysis of Cross-Over Trials
-
Analysis of Variance for Functional Data
-
Pareto Distributions
-
Analysis of Incomplete Multivariate Data
-
Simultaneous Inference in Regression
-
Gaussian Markov Random Fields
-
Sufficient Dimension Reduction
-
Markov Models & Optimization
-
Multidimensional Scaling
-
Biplots
-
Analog Est Methods Econometric
-
Predictive Inference
-
Subjective Probability Models for Lifetimes
-
Smoothing Splines
-
Bayesian Inference for Partially Identified Models
-
Maximum Likelihood Estimation for Sample Surveys
-
Mean Field Simulation for Monte Carlo Integration
-
Robust Nonparametric Statistical Methods
-
Sequential Analysis
-
The Statistical Analysis of Multivariate Failure Time Data
-
Measuring Statistical Evidence Using Relative Belief
-
Sequential Change Detection and Hypothesis Testing
-
Statistical Methods for Stochastic Differential Equations
"The book is an important contribution to the statistical literature, not only because the subject is full of interest, but also because of the way that expert authors integrate research contribution… The comments made in every section are particularly precise and usefulSpecial mention should be made of the bibliographic notes at the end of the chapter. -The Statistician
Cox, D.R.; Wermuth, Nanny
| SKU | Unavailable |
| ISBN 13 | 9780367401375 |
| ISBN 10 | 0367401371 |
| Title | Multivariate Dependencies |
| Author | Dr Cox |
| Series | Chapman And Hall Crc Monographs On Statistics And Applied Probability |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2019-10-17 |
| Number of pages | 272 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |