MARC

LEADER 00000cam a2200000 i 4500
001 EBSCO_on1162242467
003 OCoLC
005 20231017213018.0
006 m o d
007 cr |||||||||||
008 111108s2012 nyua ob 001 0 eng
010 |a  2020688087 
040 |a DLC  |b eng  |e rda  |c DLC  |d VLY  |d OCLCO  |d OCLCF  |d N$T  |d YDXCP  |d EBLCP  |d DEBSZ  |d AGLDB  |d VGM  |d VTS  |d STF  |d AU@  |d K6U  |d OCLCO  |d OCLCQ  |d OCLCO 
019 |a 830324102  |a 923654583 
020 |a 9781619421387  |q ebook 
020 |a 1619421380 
020 |z 1619421348  |q hardcover 
020 |z 9781619421349  |q hardcover 
024 8 |a 99955217267 
029 1 |a DEBBG  |b BV043775000 
029 1 |a DEBSZ  |b 449536963 
029 1 |a DEBSZ  |b 472774336 
035 |a (OCoLC)1162242467  |z (OCoLC)830324102  |z (OCoLC)923654583 
042 |a pcc 
050 0 0 |a QC925 
070 |a QC925  |b .R235 2012 
072 7 |a NAT  |x 036000  |2 bisacsh 
072 7 |a SCI  |x 042000  |2 bisacsh 
082 0 0 |a 551.64/77  |2 23 
049 |a UAMI 
245 0 0 |a Rainfall forecasting /  |c Tommy S. W. Wong, editor. 
264 1 |a New York :  |b Nova Science Publishers,  |c c2012. 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Hydrological science and engineering 
504 |a Includes bibliographical references and index. 
588 |a Description based on print version record and cip data provided by publisher. 
505 0 |a ""RAINFALL FORECASTING""; ""HYDROLOGICAL SCIENCEAND ENGINEERING""; ""Library of Congress Cataloging-in-Publication Data""; ""CONTENTS""; ""PREFACE""; ""STATISTICAL DOWNSCALING FOR SHORTTERM QUANTITATIVE PRECIPITATIONFORECASTING: SOME ACHIEVEMENTS ANDLONG TRAIL AHEAD""; ""ABSTRACT""; ""INTRODUCTION""; ""DATA""; ""METHODOLOGY""; ""Classification Techniques (SOM) Applied to Study theRelationship between Lightning and Rainfall""; ""Deterministic Statistical Downscaling by Means of Analogues""; ""Deterministic Statistical Downscalingby Means of Neural Networks"" 
505 8 |a ""Use of Random Forest for Daily Rainfall Forecast""""Probabilistic Rainfall Forecasts Using Analogues""; ""RESULTS""; ""Lightning and Rainfall""; ""Deterministic QPF at Short Range (6 Hours)""; ""Probabilistic QPF at Short Range (6 Hours)""; ""Downscaling of Daily Precipitation at the Ebro Valley""; ""CONCLUSION""; ""REFERENCES""; ""EMPIRICAL APPROACHES IN LONG-TERMRAINFALL FORECASTING""; ""ABSTRACT""; ""LIST OF ABBREVIATIONS""; ""1. INTRODUCTION""; ""1.1. Historical Perspectives""; ""1.2. Types in Forecasting""; ""1.3. Steps in Forecasting"" 
505 8 |a ""2. MATHEMATICAL AND STATISTICALMETHODS IN FORECASTING""""2.1. Time Series""; ""2.1.1. Trend""; ""2.1.2. Seasonality""; ""2.1.3. Cyclic""; ""2.1.4. Scatter Plot""; ""2.1.5. Simple Moving Average""; ""2.2. Basic Quantitative Statistics""; ""2.2.1. Mean (Y )""; ""2.2.2. Median""; ""2.2.3. Mean Squared Deviation (MSD)""; ""2.2.4. Standard Deviation (Ï?""; ""2.2.5. Variance (Ï?2)""; ""2.2.6. Covariance (Covxy)""; ""2.2.7. Correlation Coefficient (rxy)""; ""2.2.8. Autocorrelation (rj)""; ""2.2.9. Autocorrelation Function (ACF)""; ""2.2.10. Least Square Estimate"" 
505 8 |a ""2.2.11. Transformations of the Data Series""""3. TIME FIELD QUANTITATIVEFORECASTING TECHNIQUES""; ""3.1. Linear Methods""; ""3.1.1. Linear Regression (LR)""; ""3.1.1.1. Relation with Correlation Coefficient ( rxy )""; ""3.1.1.2. Evaluating the Regression""; ""3.1.1.3. Residuals (e)""; ""3.1.1.4. Coefficient of Determination (R2)""; ""3.1.1.5. F-test""; ""3.1.1.6. Confidence Intervals of Regression Coefficients""; ""3.1.1.7. t-test""; ""3.1.1.8. Assessing Performance of Regression Model""; ""3.1.2. Multiple Linear Regression (MLR)""; ""3.1.2.1. Physical Linkage and Formation of Indices"" 
505 8 |a ""3.1.2.2. Selecting Candidate Predictor Set""""3.1.2.3. Procedure for Selecting the Variables for Regression""; ""3.1.2.4. Multicolliearity""; ""3.1.2.5. Development of Regression Model""; ""3.1.2.6. Regression Coefficients""; ""3.1.2.7. Training and Test Period""; ""3.1.2.8. F-test""; ""3.1.2.9. t-test""; ""3.1.2.10. Assumptions in Multiple Linear Regression Models""; ""3.1.2.11. Durbin Watson (DW)""; ""3.1.2.12. Assessment of Model""; ""3.1.3. Autoregressive Integrated MovingAverage (ARIMA) Model""; ""3.1.3.1. Concepts and Tools in Time Series Analysis""; ""3.1.3.2. Backshift Operator"" 
546 |a English. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Rain and rainfall. 
650 0 |a Precipitation forecasting. 
650 0 |a Rainfall probabilities. 
650 6 |a Pluie. 
650 6 |a Précipitations (Météorologie)  |x Prévision. 
650 6 |a Précipitations (Météorologie)  |x Probabilités. 
650 7 |a rain.  |2 aat 
650 7 |a NATURE  |x Weather.  |2 bisacsh 
650 7 |a SCIENCE  |x Earth Sciences  |x Meteorology & Climatology.  |2 bisacsh 
650 7 |a Precipitation forecasting  |2 fast 
650 7 |a Rain and rainfall  |2 fast 
650 7 |a Rainfall probabilities  |2 fast 
700 1 |a Wong, Tommy S. W. 
776 0 8 |i Print version:  |t Rainfall forecasting  |d New York : Nova Science Publishers, c2012.  |z 1619421348 (hardcover)  |w (DLC) 2011042527 
830 0 |a Hydrological science and engineering series. 
856 4 0 |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=540881  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL3017977 
938 |a EBSCOhost  |b EBSC  |n 540881 
938 |a YBP Library Services  |b YANK  |n 7252253 
994 |a 92  |b IZTAP