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Exact Analysis of Discrete Data

exact analysis of discrete data. After reviewing the relevant discrete distributions, the author develops the exact methods from the ground up;

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Discrete Data Analysis with R

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and;

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Exact Statistical Inference for Categorical Data

time. In addition to the existing conditional exact inference, some efficient, unconditional exact approaches could be used in data analysis to;

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Analysis Of Longitudinal Data

The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis;

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Logistic Regression Using SAS

to do loglinear analysis and GEE estimation for longitudinal binary data. Only basic knowledge of the SAS DATA step is assumed. The second;

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Logistic Regression Using SAS

to do loglinear analysis and GEE estimation for longitudinal binary data. Only basic knowledge of the SAS DATA step is assumed. The second;

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Navigation in Time-Varying Scientific Data

The temporal resolution of today's simulated scientific data sets is constantly growing. Simulations spanning thousands of discrete time;

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Hidden Markov and Other Models for Discrete-Valued Time Series

Discrete-valued time series are common in practice, but methods for their analysis are not well-known. In recent years, methods have been;

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Analysis Of Longitudinal Data 2nd

The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis;

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Algorithms and Discrete Applied Mathematics

topics related to efficient algorithms and data structures, their analysis (both theoretical and experimental). The mathematical problems arising;

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Modelling of Series Resonant Inverter

system in discrete time domain. FFT analysis is carried out on the sampled data using LAB View 7.0.;

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Algorithms and Discrete Applied Mathematics

invited talk presented at the conference. The conference focuses on topics related to efficient algorithms and data structures, their analysis;

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Statistics For Social Data Analysis

The fourth edition of STATISTICS FOR SOCIAL DATA ANALYSIS continues to show students how to apply statistical methods to answer research;

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Applied Categorical and Count Data Analysis

Developed from the authors' graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the;

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Adapted Wavelet Analysis

related analysis on real data. It contains an overview of mathematical prerequisites and proceeds to describe hands-on programming techniques to;

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Adapted Wavelet Analysis

related analysis on real data. It contains an overview of mathematical prerequisites and proceeds to describe hands-on programming techniques to;

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Confidence Intervals for Discrete Data in Clinical Research

Confidence Intervals for Discrete Data in Clinical Research is designed as a toolbox for biomedical researchers. Analysis of discrete data;

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Probit and Logit Analysis

Discrete data are frequently encountered in the entomological and pathological science of agriculture. The relationship between dose and;

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Modelling Binary Data

particular software package- it includes a new chapter introducing mixed models for binary data analysis and another on exact methods for modelling;

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Modelling Binary Data

particular software package- it includes a new chapter introducing mixed models for binary data analysis and another on exact methods for modelling;

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Discrete Geometry for Computer Imagery

Representation, Recognition and Analysis, Discrete Tomography, Morphological Analysis, Discrete Modelling and Visualization, Discrete and Combinatorial;

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Stochastic Models Of Tumor Latency And Their Biostatistical Applications

biologically-based models for making statistical inference from data on tumor recurrence and also discusses methods of statistical analysis of data;

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Discrete-Event System Simulation

language-independent text explains the basic aspects of the technology, including the proper collection and analysis of data, the use of analytic;

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Data Analysis and Approximate Models

. Forgoing any concept of truth, Data Analysis and Approximate Models: Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression;

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Analysis of Panel Data

. Analysis of Panel Data draws together work on panel data from a number of different perspectives, including the econometric literature on;

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Discrete Convex Analysis

Discrete Convex Analysis is a novel paradigm for discrete optimization that combines the ideas in continuous optimization (convex analysis;

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Bayesian Models for Categorical Data

The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology;

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