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Multivariate Analysis, Design of Experiments, and Survey Sampling
About this book
Physics of Optoelectronics focuses on the properties of optical fields and their interaction with matter. Understanding that lasers, LEDs, and photodetectors clearly exemplify this interaction, the author begins with an introduction to lasers, LEDs, and the rate equations, then describes the emission and detection processes.The book summarizes and reviews the mathematical background of the quantum theory embodied in the Hilbert space. These concepts highlight the abstract form of the linear algebra for vectors and operators, supplying the "pictures" that make the subject more intuitive. A chapter on dynamics includes a brief review of the formalism for discrete sets of particles and continuous media. It also covers the quantum theory necessary for the study of optical fields, transitions, and semiconductor gain. This volume supplements the description of lasers and LEDs by examining the fundamental nature of the light that these devices produce. It includes an analysis of quantized electromagnetic fields and illustrates inherent quantum noise in terms of Poisson and sub-Poisson statistics. It explains matter-light interaction in terms of time-dependent perturbation theory and Fermi's golden rule, and concludes with a detailed discussion of semiconductor emitters and detectors.
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Table of contents
- Cover Page
- Halftitle Page
- STATISTICS: Textbooks and Monographs
- Title Page
- Copyright Page
- Preface
- Contents
- Contributors
- 1: Sampling Designs and Prediction Methods for Gaussian Spatial Processes
- 2: Design Techniques for Probabilistic Sampling of Items with Variable Monetary Value
- 3: Small Area Estimation: A Bayesian Perspective
- 4: Bayes Sampling Designs for Selection Procedures
- 5: Cluster Coordinated Composites of Diverse Datasets on Several Spatial Scales for Designing Extensive Environmental Sample Surveys: Prospectus on Promising Protocols
- 6: Corrected Confidence Sets for Sequentially Designed Experiments: Examples
- 7: Resampling Marked Point Processes
- 8: Graphical Markov Models in Multivariate Analysis
- 9: Robust Regression with Censored and Truncated Data
- 10: Multivariate Calibration
- 11: Some Consequences of Random Effects in Multivariate Survival Models
- 12: A Unified Methodology for Constructing Multivariate Autoregressive Models
- 13: Statistical Model Evaluation and Information Criteria
- 14: Multivariate Rank Tests
- 15: Asymptotic Expansions of the Distributions of Some Test Statistics for Elliptical Populations
- 16: A Review of Variance Estimators with Extensions to Multivariate Nonparametric Regression Models
- 17: On Affine Invariant Sign and Rank Tests in One- and Two-Sample Multivariate Problems
- 18: Correspondence Analysis Techniques
- 19: Growth Curve Models
- 20: Dealing with Uncertainties in Queues and Networks of Queues: A Bayesian Approach
- 21: Optimal Bayesian Design for a Logistic Regression Model: Geometric and Algebraic Approaches
- 22: Structure of Weighing Matrices of Small Order and Weight
- Appendix: THE PUBLICATIONS OF JAGDISH N. SRIVASTAVA
- Index