By Belkacem Abdous, Christian Genest (auth.), Pierre Duchesne, Bruno RÉMillard (eds.)
STATISTICAL MODELING AND research FOR advanced information PROBLEMS treats a few of today’s extra advanced difficulties and it displays the various very important study instructions within the box. Twenty-nine authors—largely from Montreal’s GERAD Multi-University examine middle and who paintings in parts of theoretical records, utilized information, chance thought, and stochastic processes—present survey chapters on a variety of theoretical and utilized difficulties of value and curiosity to researchers and scholars throughout a few educational domain names. the various parts and subject matters tested within the quantity are: an research of advanced survey info, the 2000 American presidential election in Florida, facts mining, estimation of uncertainty for computing device studying algorithms, interacting stochastic strategies, based info & copulas, Bayesian research of threat charges, re-sampling equipment in a periodic alternative challenge, statistical checking out in genetics and for established info, statistical research of time sequence research, theoretical and utilized stochastic methods, and an effective non linear filtering set of rules for the placement detection of a number of objectives.
The e-book examines the equipment and difficulties from a modeling viewpoint and surveys the kingdom of present examine on each one subject and gives path for additional study exploration of the realm.
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Extra resources for Statistical Modeling and Analysis for Complex Data Problems
Applied Regression Including Computing and Graphics. Wiley, New York. R. and Smith, H. (1998). Applied Regression Analysis. 3rd ed. Wiley, New York. E (2003). Recounts from undervotes: Evidence from the 2000 presidential election. Journal of the American Statistical Association, 98:492-498. Mosteller, F. W. (1977). Data Analysis and Regression: A Second Course in Statistics. Addison-Wesley, Reading, Mass. H. (1990). Classical and Modern Regression. Duxbury, North Scituate, Mass. L. (2002). A statistical assessment of Buchanan's vote in Palm Beach County.
Wiley, New York. R. and Smith, H. (1998). Applied Regression Analysis. 3rd ed. Wiley, New York. E (2003). Recounts from undervotes: Evidence from the 2000 presidential election. Journal of the American Statistical Association, 98:492-498. Mosteller, F. W. (1977). Data Analysis and Regression: A Second Course in Statistics. Addison-Wesley, Reading, Mass. H. (1990). Classical and Modern Regression. Duxbury, North Scituate, Mass. L. (2002). A statistical assessment of Buchanan's vote in Palm Beach County.
1. ) Florida Election Results, Raw Data, by County; First Recount. LUCIE SUMTER SUWANNEE TAYLOR UNION VOLUSIA WAKULLA WALTON WASHINGTON GORE 75197 12102 12802 72853 59174 19502 41559 9637 4075 2649 1407 97063 3838 5642 2798 PRESIDENT BUSH BUCHANAN NADER 90196 13447 36274 83100 75677 39546 34705 12127 8006 4056 2332 82214 4512 12182 4994 538 148 311 305 194 229 124 114 108 27 29 396 46 120 88 2060 377 724 4069 1940 1217 1368 306 180 59 32 2436 149 265 93 NELSON 81159 13124 14504 71434 63037 20558 41082 10271 5544 3431 1560 99135 4496 6842 4065 SENATE MCCOLLUM LOGAN 79837 11876 33650 80641 69865 37275 33050 11384 6797 3386 11 76033 3778 10295 3661 2990 304 222 2094 1377 930 1065 231 130 105 23 2554 131 115 60 obtained by dividing their vote counts by the first of the vote totals mentioned, while senatorial candidate proportions were obtained by dividing their vote counts by the second of the totals.