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John Wiley & Sons

About: John Wiley & Sons is a based out in . It is known for research contribution in the topics: The Internet & Futures contract. The organization has 964 authors who have published 776 publications receiving 64331 citations.

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01 Jan 1991
TL;DR: In this paper, the authors present a survey of statistics for spatial data in the field of geostatistics, including spatial point patterns and point patterns modeling objects, using Lattice Data and spatial models on lattices.
Abstract: Statistics for Spatial Data GEOSTATISTICAL DATA Geostatistics Spatial Prediction and Kriging Applications of Geostatistics Special Topics in Statistics for Spatial Data LATTICE DATA Spatial Models on Lattices Inference for Lattice Models SPATIAL PATTERNS Spatial Point Patterns Modeling Objects References Author Index Subject Index.

8,631 citations

01 Jan 1981
TL;DR: In this paper, the authors present an overview of the properties of polymers and their applications in the literature, including the following: 1.1 Types of Polymers and Polymerization. 2.3 Linear, Branched, and Crosslinked Polymers.
Abstract: Preface. 1. Introduction. 1.1 Types of Polymers and Polymerizations. 1.2 Nomenclature of Polymers. 1.3 Linear, Branched, and Crosslinked Polymers. 1.4 Molecular Weight. 1.5 Physical State. 1.6 Applications of Polymers. 2. Step Polymerization. 2.1 Reactivity of Functional Groups. 2.2 Kinetics of Step Polymerization. 2.3 Accessibility of Functional Groups. 2.4 Equilibrium Considerations. 2.5 Cyclization versus Linear Polymerization. 2.6 Molecular Weight Control in Linear Polymerization. 2.7 Molecular Weight Distribution in Linear Polymerization. 2.8 Process Condition. 2.9 Multichain Polymerization. 2.10 Crosslinking. 2.11 Molecular Weight Distributions in Nonlinear Polymerizations. 2.12 Crosslinking Technology. 2.13 Step Copolymerization. 2.14 High-Performance Polymers. 2.15 Inorganic and Organometallic Polymers. 2.16 Dendric (Highly Branched) Polymers. 3. Radical Chain Polymerization. 3.1 Nature and Radical Chain Polymerization. 3.2 Structural Arrangement of Monomer Units. 3.3 Rate of Radical Chain Polymerization. 3.4 Initiation. 3.5 Molecular Weight. 3.6 Chain Transfer. 3.7 Inhibition and Retardation. 3.8 Determination of Absolute Rate Constants. 3.9 Energetic Characteristics. 3.10 Autoacceleration. 3.11 Molecular Weight Distribution. 3.12 Effect of Pressure. 3.13 Process Conditions. 3.14 Specific Commercial Polymers. 3.15 Living Radical Polymerization. 3.16 Other Polymerizations. 4. Emulsion Polymerization. 4.1 Description of Process. 4.2 Quantitative Aspects. 4.3 Other Characteristics of Emulsion Polymerization. 5. Ionic Chain Polymerization. 5.1 Comparison of Radical and Ionic Polymerization. 5.2 Cationic Polymerization of the Carbon-Carbon Double Bond. 5.3 Anionic Polymerization of the Carbon-Carbon Double. 5.4 Block and Other Polymer Architecture. 5.5 Distinguishing Between Radical, Cationic, and Anionic Polymerizations. 5.6 Carbonyl Polymerization. 5.7 Miscellaneous Polymerizations. 6. Chain Copolymerization. 6.1 General Considerations. 6.2 Copolymer Composition. 6.3 Radical Copolymerization. 6.4 Ionic Copolymerization. 6.5 Deviations from Terminal Copolymerization Model. 6.6 Copolymerizations Involving Dienes. 6.7 Other Copolymerizations. 6.8 Applications of Copolymerizations. 7. Ring-Opening Polymerization. 7.1 General Characteristics. 7.2 Cyclic Ethers. 7.3 Lactams. 7.4 N-Carboxy-alphaAmino Acid Anhydrides. 7.5 Lactones. 7.6 Nitrogen Heterocyclics. 7.7 Sulfur Heterocyclics. 7.8 Cycloalkenes. 7.9 Miscellaneous Oxygen Heterocyclics. 7.10 Other Ring-Opening Polymerizations. 7.11 Inorganic and Partially Inorganic Polymers. 7.12 Copolymerization. 8. Stereochemistry of Polymerizaton. 8.1 Types of Stereoisomerism in Polymers. 8.2 Properties of Stereoregular Polymers. 8.3 Forces of Stereoregulation in Alkene Polymerization. 8.4 Traditional Ziegler-Natta Polymerization of Nonpolar Alkene Monomers. 8.5 Metallocene Polymerization of Nonpolar Alkene Monomers. 8.6 Other Hydrocarbon Monomers. 8.7 Copolymerization. 8.8 Postmetallocene: Chelate Initiators. 8.9 Living Polymerization. 8.10 Polymerization of 1,3-Dienes. 8.11 Commercial Applications. 8.12 Polymerization of Polar Vinyl Monomers. 8.13 Alehydes. 8.14 Optical Activity in Polymers. 8.15 Ring-Opening Polymerization. 8.16 Statistical Models of Propagation. 9. Reactions of Polymers. 9.1 Principles of Polymers Reactivity. 9.2 Crosslinking. 9.3 Reactions of Cellulose. 9.4 Reactions of Poly(vinyl) acetate). 9.5 Halogenation. 9.6 Aromatic Substitution. 9.7 Cyclization. 9.8 Other Reactions. 9.9 Graft Copolymers. 9.10 Block Copolymers. 9.11 Polymers as Carriers or Supports. 9.12 Polymer Reagents. 9.13 Polymer Catalysts. 9.14 Polymer Substrates. Index.

4,933 citations

20 Mar 1996
TL;DR: Montgomery and Runger's Engineering Statistics text as discussed by the authors provides a practical approach oriented to engineering as well as chemical and physical sciences by providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers.
Abstract: Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are integrated into the engineering problem-solving process, all major aspects of engineering statistics are covered. Developed with sponsorship from the National Science Foundation, this text incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.

3,915 citations

Journal ArticleDOI
TL;DR: Krystek as discussed by the authors provides a comprehensive and self-contained overview of random data analysis, including derivations of the key relationships in probability and random-process theory not usually found to such extent in a book of this kind.
Abstract: This is a new edition of a book on random data analysis which has been on the market since 1966 and which was extensively revised in 1971. The book has been a bestseller since. It has been fully updated to cover new procedures developed in the last 15 years and extends the discussion to a broad range of applied fields, such as aerospace, automotive industries or biomedical research. The primary purpose of this book is to provide a practical reference and tool for working engineers and scientists investigating dynamic data or using statistical methods to solve engineering problems. It is comprehensive and self-contained and expands the coverage of the theory, including derivations of the key relationships in probability and random-process theory not usually found to such extent in a book of this kind. It could well be used as a teaching textbook for advanced courses on the analysis of random processes. The first four chapters present the background material on descriptions of data, properties of linear systems and statistical principles. They also include probability distribution formulas for one-, two- and higher-order changes of variables. Chapter five gives a comprehensive discussion of stationary random-process theory, including material on wave-number spectra, level crossings and peak values of normally distributed random data. Chapters six and seven develop mathematical relationships for the detailed analysis of single input/output and multiple input/output linear systems including algorithms. In chapters eight and nine important practical formulas to determine statistical errors in estimates of random data parameters and linear system properties from measured data are derived. Chapter ten deals with data aquisition and processing, including data qualification. Chapter eleven describes methods of data analysis such as data preparation, Fourier transforms, probability density functions, auto- and cross-correlation, spectral functions, joint record functions and multiple input/output functions. Chapter twelve shows how to handle nonstationary data analysis, classification of nonstationary data, probability structure of nonstationary data, calculation of nonstationary mean values or mean square values, correlation structures of nonstationary data and spectral structures of nonstationary data. The last chapter deals with the Hilbert transform including applications for both nondispersive and dispersive propagation problems. All chapters include many illustrations and references as well as examples and problem sets. This allows the reader to use the book for private study purposes. Altogether the book can be recommended for practical working engineers and scientists to support their daily work, as well as for university readers as a teaching textbook in advanced courses. M Krystek

3,390 citations


Showing all 964 results

Gabor A. Somorjai136110985964
Christopher G. Maher12894073131
Jaak Panksepp9944640748
Ralph T. Yang9948835671
Ralph J. DiClemente9165032102
Larry A. Coldren78106428029
Kin-Lu Wong7679926512
David J. Miklowitz7630819685
Lawrence O. Gostin7587923066
Noel A Cressie7143240839
Alexander Laskin7023114665
Douglas C. Montgomery6837649723
Anastasios A. Tsiatis6616617250
Tony Q. S. Quek6566316996
Paolo Lazzarin6319311014
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