Magnetohydrodynamic and gasdynamic theories for planetary bow waves [[electronic resource] /] / by John R. Spreiter and Stephen S. Stahara

• Record Nr.: UNINA9910700993103321
• Autore: Spreiter John R
• Pubbl/distr/stampa: [Washington, D.C.] : , : [National Aeronautics and Space Administration], , [1983?]
• Edizione: [[Jan. 1, 1983 ed.]]
• Descrizione fisica: 1 online resource (72 unnumbered pages) : illustrations
• Collana: NASA-CR ; ; 174135
• Altri autori (Persone): StaharaStephen S
• Soggetti: Bow waves; Flow distribution; Flow theory; Gas dynamics; Magnetic fields; Magnetohydrodynamic flow; Planets; Solar wind
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from title screen (viewed Aug. 30, 2011).; Date of publication taken from NASA Center for Aerospace Information website.
• Nota di bibliografia: Includes bibliographical references (pages 49-55).

The reproduction of colour / / R.W.G. Hunt

• Record Nr.: UNINA9911018964703321
• Autore: Hunt R. W. G (Robert William Gainer), <1923->
• Pubbl/distr/stampa: Chichester, West Sussex, England ; ; Hoboken, NJ, : John Wiley & Sons, c2004
• ISBN: 9786610268832; 9781280268830; 1280268832; 9780470024270; 0470024275; 9780470024263; 0470024267
• Edizione: [6th ed.]
• Descrizione fisica: 1 online resource (726 p.)
• Collana: Wiley-IS&T series in imaging science and technology
• Disciplina: 778.6
• Soggetti: Color photography; Color television; Color printing
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: The Reproduction of Colour; Contents; Series Preface; Preface to the Sixth Edition; PART ONE FUNDAMENTALS; 1 Spectral Colour Reproduction; 1.1 Introduction; 1.2 The spectrum; 1.3 The micro-dispersion method of colour photography; 1.4 The Lippmann method; 1.5 Use of identical dyes; 1.6 Approximate spectral colour reproduction; 1.7 A simplified approach; 2 Trichromatic Colour Reproduction and the Additive Principle; 2.1 Introduction; 2.2 Maxwell's method; 2.3 The physiology of human colour vision; 2.4 Spectral sensitivity curves of the retina; 2.5 Unwanted stimulations; 3 Additive Methods; 3.1 Introduction3.2 The successive frame method; 3.3 The mosaic method; 3.4 The lenticular method; 3.5 The virtual-image method; 3.6 The diffraction method; 3.7 Errors in additive methods; 4 The Subtractive Principle; 4.1 Introduction; 4.2 The subtractive principle; 4.3 Defects of the subtractive principle; 5 Visual Appreciation; 5.1 ; Introduction; 5.2 The basis of judgement; 5.3 Variations of hue; 5.4 Variations of lightness; 5.5 Variations of colourfulness; 5.6 Priorities; 5.7 Factors affecting apparent colour balance; 5.8 Integrating to grey; 5.9 The perception of depth; 6 Tone Reproduction; 6.1 Introduction6.2 Identical viewing conditions; 6.3 Characteristic curves; 6.4 Different luminance levels; 6.5 Different surround conditions; 6.6 Complications with solid objects; 6.7 Comparisons of transparencies and reflection prints; 6.8 Colourfulness; 6.9 Exposure latitude; 6.10 Tone reproduction in duplicating; 6.11 Tone reproduction in television; 6.12 Lighting geometry; 6.13 Conclusions; 7 The Colour Triangle; 7.1 Introduction; 7.2 Colour terminology; 7.3 Trichromatic matching; 7.4 Colour-matching functions; 7.5 The colour triangle; 7.6 The centre of gravity law; 7.7 Other colour triangles7.8 Additive colour reproduction; 7.9 The Ives-Abney-Yule compromise; 7.10 Colour gamuts of reflecting and transmitting colours; 7.11 Two-colour reproductions; 8 Colour Standards and Calculations; 8.1 Introduction; 8.2 Standard illuminants; 8.3 The Standard Observers; 8.4 Colour transformations; 8.5 Properties of the XYZ system; 8.6 Uniform chromaticity diagrams; 8.7 Nomograms; 8.8 Uniform colour spaces; 8.9 Subjective effects; 8.10 Haploscopic matching; 8.11 Subjective colour scaling; 8.12 Physical colour standards; 8.13 Whiteness; 9 The Colorimetry of Subtractive Systems9.1 Introduction; 9.2 Subtractive chromaticity gamuts; 9.3 Subtractive gamuts in the colour solid; 9.4 Spectral sensitivities for block dyes; 9.5 Spectral sensitivities for real dyes; 9.6 MacAdam's analysis; 9.7 Umberger's analysis; 9.8 Two-colour subtractive systems; 9.9 Subtractive quality; 10 Light Sources; 10.1 Introduction; 10.2 Tungsten lamps; 10.3 Spectral-power converting filters; 10.4 Daylight; 10.5 Fluorescent lamps; 10.6 Sodium, mercury, and metal-halide lamps; 10.7 Xenon arcs; 10.8 Carbon arcs; 10.9 Photographic flash-bulbs; 10.10 The red-eye effect
• Sommario/riassunto: Increasing use of digital signals for transmitting data in television, photography and printing means the reproduction of pictorial colour in the 21st century continues to drive innovation in its development. Hunt's classic text The Reproduction of Colour has been fully revised and updated for the sixth edition to provide a comprehensive introduction to colour imaging and colour reproduction. New illustrations, diagrams and photographs ensure that both students and practising engineers using colour images can gain a full understanding of the theory and practical application

Latent curve models : a structural equation perspective / / Kenneth A. Bollen, Patrick J. Curran

• Record Nr.: UNINA9911020148103321
• Autore: Bollen Kenneth A
• Pubbl/distr/stampa: Hoboken, N.J., : Wiley-Interscience, c2006
• ISBN: 1-280-40940-1; 9786610409402; 0-470-32167-9; 0-471-74609-6; 0-471-74608-8
• Descrizione fisica: 1 online resource (307 p.)
• Collana: Wiley series in probability and statistics
• Altri autori (Persone): CurranPatrick J. <1965->
• Disciplina: 519.5/35
• Soggetti: Latent structure analysis; Latent variables
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. 263-273) and indexes.
• Nota di contenuto: Latent Curve Models; Contents; Preface; 1 Introduction; 1.1 Conceptualization and Analysis of Trajectories; 1.1.1 Trajectories of Crime Rates; 1.1.2 Data Requirements; 1.1.3 Summary; 1.2 Three Initial Questions About Trajectories; 1.2.1 Question 1: What Is the Trajectory for the Entire Group?; 1.2.2 Question 2: Do We Need Distinct Trajectories for Each Case?; 1.2.3 Question 3: If Distinct Trajectories Are Needed, Can We Identify Variables to Predict These Individual Trajectories?; 1.2.4 Summary; 1.3 Brief History of Latent Curve Models; 1.3.1 Early Developments: The Nineteenth Century; 1.3.2 Fitting Group Trajectories: 1900-19371.3.3 Fitting Individual and Group Trajectories: 1938-1950s; 1.3.4 Trajectory Modeling with Latent Variables: 1950s-1984; 1.3.5 Current Latent Curve Modeling: 1984-present; 1.3.6 Summary; 1.4 Organization of the Remainder of the Book; 2 Unconditional Latent Curve Model; 2.1 Repeated Measures; 2.2 General Model and Assumptions; 2.3 Identification; 2.4 Case-By-Case Approach; 2.4.1 Assessing Model Fit; 2.4.2 Limitations of Case-by-Case Approach; 2.5 Structural Equation Model Approach; 2.5.1 Matrix Expression of the Latent Curve Model; 2.5.2 Maximum Likelihood Estimation2.5.3 Empirical Example; 2.5.4 Assessing Model Fit; 2.5.5 Components of Fit; 2.6 Alternative Approaches to the SEM; 2.7 Conclusions; Appendix 2A: Test Statistics, Nonnormality, and Statistical Power; 3 Missing Data and Alternative Metrics of Time; 3.1 Missing Data; 3.1.1 Types of Missing Data; 3.1.2 Treatment of Missing Data; 3.1.3 Empirical Example; 3.1.4 Summary; 3.2 Missing Data and Alternative Metrics of Time; 3.2.1 Numerical Measure of Time; 3.2.2 When Wave of Assessment and Alternative Metrics of Time Are Equivalent; 3.2.3 When Wave of Assessment and Alternative Metrics of Time Are Different3.2.4 Reorganizing Data as a Function of Alternative Metrics of Time; 3.2.5 Individually Varying Values of Time; 3.2.6 Summary; 3.2.7 Empirical Example: Reading Achievement; 3.3 Conclusions; 4 Nonlinear Trajectories and the Coding of Time; 4.1 Modeling Nonlinear Functions of Time; 4.1.1 Polynomial Trajectories: Quadratic Trajectory Model; 4.1.2 Polynomial Trajectories: Cubic Trajectory Models; 4.1.3 Summary; 4.2 Nonlinear Curve Fitting: Estimated Factor Loadings; 4.2.1 Selecting the Metric of Change; 4.3 Piecewise Linear Trajectory Models4.3.1 Identification; 4.3.2 Interpretation; 4.4 Alternative Parametric Functions; 4.4.1 Exponential Trajectory; 4.4.2 Parametric Functions with Cycles; 4.4.3 Nonlinear Transformations of the Metric of Time; 4.4.4 Nonlinear Transformations of the Repeated Measures; 4.5 Linear Transformations of the Metric of Time; 4.5.1 Logic of Recoding the Metric of Time; 4.5.2 General Framework for Transforming Time; 4.5.3 Summary; 4.6 Conclusions; Appendix 4A: Identification of Quadratic and Piecewise Latent Curve Models; 4A.1 Quadratic LCM; 4A.2 Piecewise LCM; 5 Conditional Latent Curve Models
• Sommario/riassunto: An effective technique for data analysis in the social sciences The recent explosion in longitudinal data in the social sciences highlights the need for this timely publication. Latent Curve Models: A Structural Equation Perspective provides an effective technique to analyze latent curve models (LCMs). This type of data features random intercepts and slopes that permit each case in a sample to have a different trajectory over time. Furthermore, researchers can include variables to predict the parameters governing these trajectories. The authors synthesize a vast amount of research and find