Niche Modeling: Predictions From Statistical Distributions - Chapter 10 ppt

Niche Modeling: Predictions From Statistical Distributions - Chapter 10 ppt

Niche Modeling: Predictions From Statistical Distributions - Chapter 10 ppt

... 0.93 10. 1.1 Hurst Exponent All natural series long term persistent, including temperature and precip- itation all have high values of H as shown in Table 10. 1. Figure 10. 4 below is a log-log ... our assump- tions. © 2007 by Taylor and Francis Group, LLC Long term persistence 165 1 2 5 10 20 0.1 0.2 0.5 1.0 2.0 5.0 10. 0 50.0 log.k log.sd AR walk sss precip temp FIGURE 10. 6: Log-log...
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Niche Modeling: Predictions From Statistical Distributions - Chapter 4 pptx

Niche Modeling: Predictions From Statistical Distributions - Chapter 4 pptx

... isolated from each other. 4.3.5 Relationships There is a particular type of relationship between N and B. Every species with a non-empty range should produce a non-empty niche in the environmen- tal ... distribution. So the more general approach to niche modeling, an extension of the Hutchin- sonian niche, is the statistical idea of the probability distribution. Here the niche mode...
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Niche Modeling: Predictions From Statistical Distributions - Chapter 1 doc

Niche Modeling: Predictions From Statistical Distributions - Chapter 1 doc

... daylight < ;- function(x) -cos(pi * x/6) > daylight(1:12) [1] -8 .660254e-01 -5 .000000e-01 -6 .123234e-17 5.000000e-01 [5] 8.660254e-01 1.000000e+00 8.660254e-01 5.000000e-01 [9] 1.836970e-16 -5 .000000e-01 ... 1.2085126 1.4399613 -0 .6782351 -0 .2068214 [2,] -0 .4676946 -0 .6252734 0.8457706 -0 .5456283 [3,] -0 .1882097 1.0402726 -0 .2805549 0.807587...
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Niche Modeling: Predictions From Statistical Distributions - Chapter 8 docx

Niche Modeling: Predictions From Statistical Distributions - Chapter 8 docx

... 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 −0.4 −0.2 0.0 0.2 −0.6 −0.4 −0.2 0.0 0.2 0.4 0.6 lag 1 iid 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 2...
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Niche Modeling: Predictions From Statistical Distributions - Chapter 9 pdf

Niche Modeling: Predictions From Statistical Distributions - Chapter 9 pdf

... 2007 by Taylor and Francis Group, LLC Chapter 9 Non-linearity In mathematics, non-linear systems are, obviously, not linear. Linear sys- tem and some non-linear systems are easily solvable as ... the prox- ies. We now examine the consequences of reconstructing temperatures from non-linear responses calibrated by four different regions of the response curve (mo dels R 1-4 ). The left-hand...
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Tài liệu Higher Returns from Safe Investments Chapter 10-11 doc

Tài liệu Higher Returns from Safe Investments Chapter 10-11 doc

... RETURNS FROM SAFE INVESTMENTS 148 40 50 60 70 80 90 100 110 120 130 140 Jun-06 Aug-06 Oct-06 Dec-06 Feb-07 Apr-07 Jun-07 Aug-07 Oct-07 Dec-07 Feb-08 Apr-08 Jun-08 Aug-08 Oct-08 Dec-08 Feb-09 Apr-09 SPDR ... means, without permission in writing from the publisher. Printed in the United States of America First Printing March 2 010 ISBN -1 0: 0-1 3-7 0033 5-8 ISBN-13: 97 8-0 -...
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Modeling Hydrologic Change: Statistical Methods - Chapter 1 pdf

Modeling Hydrologic Change: Statistical Methods - Chapter 1 pdf

... Ties 8.9 One-Sample Chi-Square Test 8 .10 Two-Sample F-Test 8.11 Siegel–Tukey Test for Scale 8.12 Problems Chapter 9 Detection of Change in Distribution 9.1 Introduction 9.2 Chi-Square Goodness-of-Fit ... Standardized Model 10. 4.4 Intercorrelation 10. 4.5 Stepwise Regression Analysis 10. 4.6 Numerical Optimization 10. 4.7 Subjective Optimization 10. 5 Model Verification 10. 5.1 Spli...
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Modeling Hydrologic Change: Statistical Methods - Chapter 2 ppsx

Modeling Hydrologic Change: Statistical Methods - Chapter 2 ppsx

... 131, 122, 151, 125, 109 , 109 , 109 }. 2-2 6 How might the distance between a rain gage and a streamflow gage affect the characteristics of a cross-correlogram? 2-2 7 Compute the cross-correlogram for ... and 9. Whereas the actual series Y(t) varies from 10 to 30, the smoothed series vary from 10. 89 to 29.11, from 12.54 to 27.46, from 14.67 to 25.33, and from 16.96 to 23...
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Modeling Hydrologic Change: Statistical Methods - Chapter 3 pdf

Modeling Hydrologic Change: Statistical Methods - Chapter 3 pdf

... one-tailed upper, one-tailed lower, and two-tailed hypotheses related to the hydrologic effects of afforestation. 3-1 2 Develop one-tailed upper, one-tailed lower, and two-tailed hypotheses related ... exact. 3.5 PROBLEMS 3-1 What are the characteristics of a null hypothesis and an alternative hypoth- esis? 3-2 Why is it necessary to state the null hypothesis as a finding of no si...
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Modeling Hydrologic Change: Statistical Methods - Chapter 5 doc

Modeling Hydrologic Change: Statistical Methods - Chapter 5 doc

... the base -1 0 logarithms of 0.36 and 0.15, respectively, find the 1 0-, 5 0-, and 100 -year magnitudes assum- ing a lognormal distribution. 5-1 7 Given a mean and standard deviation of the base -1 0 logarithms ... ft 3 /sec, respec- tively, find the 2-, 1 0-, and 100 -year peak floods for a normal distribution. 5-2 Given a mean and standard deviation of 100 0 and 600 ft 3 /sec...
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