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Statistics of Linear Polymers in Disordered Media

conformational statistics of linear polymers was clearly understood in early seventies. Various models of disordered solids, percolation model;

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Polarized Light in Liquid Crystals and Polymers

Polarized Light in Liquid Crystals and Polymers deals with the linear optics of birefringent materials, such as liquid crystals and;

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Random Walks on Disordered Media and Their Scaling Limits: École d'Été de Probabilités de Saint-Flour XL - 2010

In these lecture notes, we will analyze the behavior of random walk on disordered media by means of both probabilistic and analytic methods;

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Structure and Rheology of Molten Polymers

. Methods of polymer synthesis and characterization are described, starting from fundamentals. The foundations of linear viscoelasticity are;

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Mechanics of Viscoelastic Solids

simulation with experimental data. After covering linear viscoelastic media at small strains, a clear approach to nonlinear constitutive equations;

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Mechanical Properties of Solid Polymers

. This includes finite elastic behavior, linear viscoelasticity and mechanical relaxations, mechanical anisotropy, non-linear viscoelasicity;

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SAS System for Linear Models, 4e + Linear Models in Statistics, 2e Set

This set contains: 9780471221746 SAS for Linear Models, Fourth Edition by Ramon Littell, Walter W. Stroup, Rudolf Freund and 9780471754985;

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Vibrational Spectroscopy of Polymers

, are covered, as well as practical methods for determining molecular orientation; linear, biaxial and trichroic determinations for polymers, as;

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New Trends in Nonionic (Co) Polymers & Hybrids

from prominent authors who are involved either in the synthesis and characterisation of linear and non-linear nonionic polymers, or in the;

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Tensor Methods in Statistics

reference for graduate students and professional statisticians. Prerequisites include some knowledge of linear algebra, eigenvalue decompositions;

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Random Walks Random Fields and Disordered Systems

by the three terms in the title: Random Walks, Random Fields and Disordered Systems. The specific topics covered include a study of Branching;

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Linear Algebra and Linear Models

Linear Algebra and Linear Models comprises a concise and rigorous introduction to linear algebra required for statistics followed by the;

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Generalized Linear Mixed Models

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the;

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Matrix Algebra for Linear Models

for Linear Models offers a succinct summary of matrix theory and its related applications to statistics, especially linear models. The book;

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Laser Irradiation Effects in Polymers, and Lithium Niobate Crystal

synthesis of silver nanoparticles through laser irradiation (ns, ps, and fs) in PVA matrix is presented in this study. Linear and nonlinear optical;

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Recent Advances in Linear Models and Related Areas

linear model and its related topics. Helge Toutenburg is an established statistician and currently a Professor in the Department of Statistics at;

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Learn R for Applied Statistics

statistics, and inferential statistics such as t-test, chi-square test, ANOVA, non-parametric test, and linear regressions. Learn R for Applied;

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Statistics for Linguists

Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple;

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Statistics for Linguists

Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple;

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Linear Models in Statistics

The essential introduction to the theory and application of linear models-now in a valuable new edition Since most advanced statistical;

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Advances in Materials Science Research

synthesis and crystal growth of non-linear optical materials and their application in telecommunications; poly (vinyl alcohol) hydrogels in drug;

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Generalized Linear Models and Correlated Data Methods

Offers a unified discussion of generalized linear models and correlated data methods Provides information suitable for graduate non;

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Linear Models with R

A Hands-On Way to Learning Data Analysis Part of the core of statistics, linear models are used to make predictions and explain the;

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Diffusion and Reactions in Fractals and Disordered Systems

of phenomena. This book describes diffusion and transport in disordered media such as fractals, porous rocks and random resistor networks. Divided into;

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Hyperbranched Polymers

compare with dendrimers as well as linear polymers * Future trends in the synthesis and application of hyperbranched polymers Geared to novices;

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Synthetic Polymer Chemistry

tools for the synthesis of linear and topological polymers. Chapters cover topics including fabrication of supramolecular polymers;

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Matrix Algebra Useful for Statistics

also: * Contains new coverage on vector spaces and linear transformations and discusses computational aspects of matrices * Covers the analysis;

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