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1 | (26) |
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Motivations and Purpose of the Book |
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1 | (1) |
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Structures in Statistical Physics: A New Perspective |
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2 | (6) |
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Structures in Statistical Physics: The Methods |
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8 | (3) |
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Applications to Cosmology |
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11 | (11) |
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Perspectives for the Future |
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22 | (5) |
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Part I Statistical Methods |
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Uniform and Correlated Mass Density Fields |
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27 | (46) |
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27 | (4) |
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Basic Statistical Properties and Concepts |
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31 | (4) |
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Spatial Averages and Ergodicity |
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34 | (1) |
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Homogeneity and Homogeneity Scale |
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34 | (1) |
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35 | (9) |
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Characteristic Function and Cumulants Expansion |
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36 | (3) |
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39 | (1) |
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Other Properties of the Reduced Two-Point Correlation Function |
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40 | (1) |
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41 | (3) |
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44 | (2) |
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Stochastic Point Processes with Spatial Correlations |
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46 | (6) |
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48 | (2) |
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Integrated Conditional Properties |
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50 | (1) |
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Detection of the Homogeneity Scale of a Discrete SPP |
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50 | (2) |
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Nearest Neighbor Probability Density in Point Processes |
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52 | (3) |
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52 | (2) |
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Particle Distributions with Spatial Correlations |
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54 | (1) |
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Gaussian Continuous Stochastic Fields |
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55 | (3) |
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Power-Laws and Self-Similarity |
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58 | (3) |
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Mass Function and Probability Distribution |
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61 | (3) |
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The Random Walk and the Central Limit Theorem |
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64 | (5) |
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Probability Distribution of Mass Fluctuations in Large Volumes |
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68 | (1) |
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Gaussian Distribution as the Most Probable Probability Distribution |
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69 | (2) |
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71 | (2) |
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The Power Spectrum and the Classification of Stationary Stochastic Fields |
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73 | (28) |
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73 | (1) |
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73 | (4) |
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73 | (3) |
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76 | (1) |
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The Power Spectrum for the Poisson Point Process and Other SPP |
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77 | (1) |
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The Power Spectrum and the Mass Variance: A Complete Classification |
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78 | (6) |
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The Complete Classification of Mass Fluctuations versus Power Spectrum |
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83 | (1) |
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Super-Homogeneous Mass Density Fields |
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84 | (7) |
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The Lattice Particle Distribution |
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85 | (3) |
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88 | (3) |
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Further Analysis of Gaussian Fields |
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91 | (5) |
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Real Space Composition of Gaussian Fields, Correlation Length and Size of Structures |
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95 | (1) |
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96 | (5) |
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101 | (42) |
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101 | (1) |
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102 | (5) |
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107 | (9) |
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Conditional Density and Smooth Radial Particle Distributions |
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109 | (4) |
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Statistically Homogeneous and Isotropic Distribution of Radial Density Profiles |
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113 | (1) |
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Nearest Neighbor Probability Density for Radial and Fractal Point-Particle Distributions |
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113 | (3) |
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The Two-Point Conditional Density |
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116 | (2) |
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The Conditional Variance in Spheres |
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118 | (1) |
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119 | (8) |
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Correction to Scaling: Deterministic Fractals |
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120 | (4) |
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Correction to Scaling: Random Fractals |
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124 | (3) |
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Fractal with a Crossover to Homogeneity |
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127 | (1) |
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Correlation, Fractals and Clustering |
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127 | (3) |
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Probability Distribution of Mass Fluctuations in a Fractal |
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130 | (2) |
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132 | (2) |
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134 | (1) |
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Angular and Orthogonal Projection of Fractal Sets |
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134 | (7) |
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On the Uniformity of the Angular Projection |
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137 | (4) |
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141 | (2) |
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Multifractals and Mass Distributions |
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143 | (24) |
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143 | (1) |
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144 | (1) |
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Deterministic Multifractals |
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145 | (4) |
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The Multifractal Spectrum |
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149 | (2) |
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151 | (3) |
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Self-Similarity of Fluctuations and Multifractality in Temporal Multiplicative Processes |
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154 | (4) |
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Spatial Correlation in Multifractals |
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158 | (1) |
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Multifractals and ``Mass'' Distributions |
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159 | (2) |
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161 | (6) |
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Part II Applications to Cosmology |
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Fluctuations in Standard Cosmological Models: A Real Space View |
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167 | (26) |
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167 | (1) |
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Basic Properties of Cosmological Density Fields |
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167 | (4) |
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The Cosmological Origin of the HZ Spectrum |
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171 | (2) |
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The Real Space Correlation Function of CDM/HDM Models |
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173 | (4) |
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P(0) = 0 and Constraints in a Finite Sample |
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177 | (2) |
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CMBR Anisotropies in Direct Space |
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179 | (10) |
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CMBR Anisotropies and the Matter Power Spectrum |
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180 | (3) |
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The Origin of Oscillations in the Power Spectrum |
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183 | (1) |
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A Simple Example of k-Oscillations |
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184 | (1) |
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Oscillations in the CDM PS |
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185 | (2) |
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Oscillations in the CMBR Anisotropies |
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187 | (2) |
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189 | (4) |
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Discrete Representation of Fluctuations in Cosmological Models |
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193 | (26) |
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193 | (1) |
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Discrete versus Continuous Density Fields |
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194 | (2) |
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Super-Homogeneous Systems in Statistical Physics |
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196 | (1) |
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HZ as Equilibrium of a Modified OCP |
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197 | (2) |
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A First Approximation to the Effect of Displacement Fields |
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199 | (1) |
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Displacement Fields: Formulation of the Problem |
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200 | (3) |
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Effects of Displacements on One and Two-Point Properties of the Particle Distribution |
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203 | (9) |
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Uncorrelated Displacements |
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206 | (2) |
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Asymptotic Behavior of P(k) for Small k |
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208 | (1) |
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The Shuffled Lattice with Uncorrelated Displacements |
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209 | (3) |
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212 | (5) |
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Correlated Gaussian Displacement Field |
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214 | (3) |
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217 | (2) |
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Galaxy Surveys: An Introduction to Their Analysis |
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219 | (16) |
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219 | (1) |
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Basic Assumptions and Definitions |
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220 | (1) |
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Galaxy Catalogs and Redshift |
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221 | (3) |
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224 | (3) |
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The Discovery of Large Scale Structure in Galaxy Catalogs |
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227 | (1) |
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Standard Characterization of Galaxy Correlations and the Assumption of Homogeneity |
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228 | (5) |
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233 | (2) |
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Characterizing the Observed Distribution of Visible Matter I: The Conditional Average Density in Galaxy Catalogs |
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235 | (30) |
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235 | (1) |
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The Conditional Average Density in Finite Samples |
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236 | (4) |
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Sample Size Smaller than the Homogeneity Scale |
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240 | (2) |
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The Reduced Correlation Function for a Particle Distribution with Fractal Behavior in the Sample |
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240 | (2) |
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Sample Size Greater Than the Homogeneity Scale |
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242 | (4) |
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243 | (1) |
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Substantially Poisson Case |
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244 | (1) |
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245 | (1) |
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245 | (1) |
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Estimating the Average Conditional Density in a Finite Sample |
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246 | (4) |
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Estimators of the Average Conditional Density |
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247 | (3) |
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Effective Depth of Samples |
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250 | (1) |
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The Average Conditional Density (FS) in Real Galaxy Catalogs |
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250 | (13) |
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Normalization of the Average Conditional in Different VL Samples |
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257 | (2) |
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Estimation of the Conditional Average Luminosity Density |
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259 | (1) |
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Measuring the Average Mass Density Ω from Redshift Surveys |
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260 | (3) |
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263 | (2) |
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Characterizing the Observed Distribution of Visible Matter II: Number Counts and Their Fluctuations |
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265 | (26) |
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265 | (1) |
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Number Counts in Real Space |
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266 | (2) |
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Number Counts as a Function of Apparent Magnitude |
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268 | (8) |
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268 | (3) |
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Simple Fractal Distribution |
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271 | (2) |
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Effect of Long-Ranged Correlations in Homogeneous Distributions |
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273 | (3) |
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Normalization of the Magnitude Counts to Real Space Properties in Euclidean Space |
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276 | (2) |
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276 | (1) |
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Normalization of Distance to Magnitude Counts |
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277 | (1) |
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Galaxy Counts in Real Catalogs |
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278 | (10) |
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279 | (4) |
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283 | (5) |
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288 | (3) |
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Luminosity in Galaxy Correlations |
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291 | (8) |
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291 | (1) |
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Standard Methods for the Estimation of the Luminosity Function |
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292 | (1) |
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Multifractality, Luminosity and Space Distributions |
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293 | (4) |
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297 | (2) |
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The Distribution of Galaxy Clusters |
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299 | (14) |
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299 | (1) |
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Cluster Correlations and Multifractality |
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300 | (3) |
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Galaxy Cluster Correlations |
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303 | (5) |
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The Average Conditional Density for Galaxy Clusters |
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306 | (1) |
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306 | (2) |
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Luminosity Bias and the Richness-Clustering Relation |
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308 | (3) |
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311 | (2) |
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Biasing a Gaussian Random Field and the Problem of Galaxy Correlations |
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313 | (22) |
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313 | (1) |
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Biasing of Gaussian Random Fields |
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314 | (4) |
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Biasing and Real Space Correlation Properties |
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318 | (7) |
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Biasing and the Power Spectrum |
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325 | (5) |
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330 | (5) |
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The Gravitational Field in Stochastic Particle Distributions |
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335 | (78) |
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335 | (1) |
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Nearest Neighbor Force Distribution |
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336 | (2) |
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Gravitational Force PDF in a Poisson Particle Distribution |
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338 | (4) |
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Gravitational Force in Weakly Correlated Particle Distributions: the Gauss-Poisson Case |
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342 | (1) |
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Generalization of the Holtzmark Distribution to the Gauss-Poisson Case |
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343 | (7) |
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344 | (3) |
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347 | (1) |
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Comparison with Simulations |
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347 | (1) |
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Nearest-Neighbor Approximation for the Gauss-Poisson Case |
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348 | (2) |
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Gravitational Force in Fractal Point Distributions |
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350 | (1) |
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An Upper Limit in the Fractal Case |
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351 | (3) |
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Average Quadratic Force in a Fractal |
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354 | (4) |
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The General Importance of the Force-Force Correlation |
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358 | (2) |
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360 | (5) |
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A Scaling Behavior of the Characteristic Function for Asymptotically Small Values of k |
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365 | (4) |
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369 | (6) |
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B.1 Cantor Set and Random Cantor Set |
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369 | (3) |
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372 | (1) |
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372 | (3) |
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C Cosmological Models: Basic Relations |
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375 | (6) |
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C.1 Cosmological Parameters |
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376 | (1) |
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C.1.1 Comoving (Radial) Distance |
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376 | (1) |
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C.1.2 Comoving (Transverse) Distance |
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377 | (1) |
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C.1.3 Luminosity Distance |
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377 | (1) |
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377 | (1) |
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C.2 Cosmological Corrections in the Analysis of Redshift Surveys |
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378 | (1) |
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C.2.1 Flat Cosmologies: FMD and FLD |
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378 | (2) |
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380 | (1) |
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D Cosmological and k-Corrections to Number Counts |
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381 | (4) |
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381 | (1) |
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D.2 k-Corrections and the Radial Number Counts |
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382 | (1) |
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D.3 Dependence on the Cosmological Model |
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383 | (2) |
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E Fractal Matter in an Open FRW Universe |
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385 | (10) |
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385 | (1) |
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E.2 Friedmann Solution in an Empty Universe |
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386 | (1) |
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E.3 Curvature Dominated Phase |
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387 | (3) |
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E.4 Radiation Dominated Era |
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390 | (1) |
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E.5 Fluctuations in the CMBR |
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391 | (1) |
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392 | (3) |
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F. Errors in Full Shell Estimators |
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395 | (10) |
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F.1 Bias and Variance of Estimators |
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395 | (1) |
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F.2 Unconditional Average Density |
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396 | (1) |
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F.3 Conditional Number of Points in a Sphere |
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397 | (1) |
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F.4 Integrated Conditional Density |
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398 | (1) |
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F.5 Conditional Average Density in Shells |
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399 | (3) |
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F.6 Reduced Two-Point Correlation Function |
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402 | (3) |
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G Non Full-Shell Estimation of Two Point Correlation Properties |
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405 | (6) |
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G.1 Estimators with Simple Weightings |
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406 | (1) |
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G.2 Other Pair Counting Estimators |
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407 | (2) |
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G.3 Estimation of the Conditional Density Beyond Rs |
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409 | (2) |
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H Estimation of the Power Spectrum |
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411 | (2) |
References |
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413 | (8) |
Index |
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421 | |