Lingua: Inglese
Editore: Inst Of Mathematical Statistic, 2007
ISBN 10: 0940600706 ISBN 13: 9780940600706
Da: Anybook.com, Lincoln, Regno Unito
EUR 16,60
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9780940600706.
Lingua: Inglese
Editore: Chapman and Hall/CRC (edition 1), 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
Editore: Chinese comic
Da: liu xing, Nanjing, JS, Cina
EUR 37,03
Quantità: 1 disponibili
Aggiungi al carrelloSoft cover. Condizione: New. Language:Chinese.Author:ZHANG YU ZHI GAI BIAN LIU CUN PU HUI HUA.Binding:.Publisher:Chinese comic.
Da: liu xing, Nanjing, JS, Cina
EUR 34,63
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: Good. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.The static sketches (the art institutions gentleman sketches Pro).Four Satisfaction guaranteed,or money back.
Lingua: Cinese
Editore: Fujian Science and Technology Press Pub. Date :200, 2000
ISBN 10: 7533533542 ISBN 13: 9787533533540
Da: liu xing, Nanjing, JS, Cina
EUR 36,28
Quantità: 3 disponibili
Aggiungi al carrelloSoft cover. Condizione: New. Language:Chinese.Author:JIANG BIN WU SHENG HUI LIN LIN ZHANG SHI ZHONG FU JIAN SHENG KE XUE JI SHU XIE HUI FU JIAN SHENG NONG CUN ZHI FU JI SHU HAN SHOU DA XUE.Binding:Soft cover.Publisher:Fujian Science and Technology Press Pub. Date :200.
Lingua: Inglese
Editore: World Scientific Publishing Company, 2006
ISBN 10: 9812703551 ISBN 13: 9789812703552
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Lingua: Inglese
Editore: World Scientific Publishing Company, 2006
ISBN 10: 9812703551 ISBN 13: 9789812703552
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Lingua: Cinese
Editore: China Electric Power Press Pub. Date :2008-11-01, 1991
ISBN 10: 7508377699 ISBN 13: 9787508377698
Da: liu xing, Nanjing, JS, Cina
EUR 38,26
Quantità: 3 disponibili
Aggiungi al carrelloSoft cover. Condizione: New. Language:Chinese.Author:ZHANG BAO HUI PAN ZHEN CUN.Binding:Soft cover.Publisher:China Electric Power Press Pub. Date :2008-11-01.
EUR 33,03
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: Good. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Pub Date :1975-05 Pages: 54 Publisher: Hebei People's Publishing House missing bottom.Four Satisfaction guaranteed,or money back.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 130,89
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Chapman and Hall/CRC 2020-08-17, 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Da: Chiron Media, Wallingford, Regno Unito
EUR 136,69
Quantità: 5 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
ISBN 10: 7545722817 ISBN 13: 9787545722819
Da: liu xing, Nanjing, JS, Cina
EUR 65,62
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: New. Paperback.Pub Date:2021-06-01 Pages:76 Language:Chinese Publisher:Shanxi Ancient Books Publishing House Since ancient times. my country has been a country of etiquette. In the long history of China. there are countless good stories from the family. Respect for the elderly and filial piety is the traditional virtue of the Chinese nation. The stories of traditional Chinese filial piety such as Bai Li for Rice. Selling one's body to bury the father and Lying on the ice for carp are widely circul.
Da: liu xing, Nanjing, JS, Cina
EUR 34,38
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: Good. Tried their very best for the people - Premier Zhou revolutionary practice pieces [Tales.
Lingua: Inglese
Editore: Chapman and Hall/CRC 2020-08-17, 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Da: Chiron Media, Wallingford, Regno Unito
EUR 151,19
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Lingua: Inglese
Editore: World Scientific Publishing Company, Incorporated, 2006
ISBN 10: 9812703551 ISBN 13: 9789812703552
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. xxxi + 387.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 155,87
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 153,12
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 34,78
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: Good. Floral patterns (78 years. 1 Indian).
Lingua: Inglese
Editore: World Scientific Publishing Company, Incorporated, 2006
ISBN 10: 9812703551 ISBN 13: 9789812703552
Da: Majestic Books, Hounslow, Regno Unito
EUR 172,92
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. pp. xxxi + 387 Illus.
Lingua: Inglese
Editore: Taylor and Francis Inc, US, 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condizione: New. Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications.The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning.
Lingua: Inglese
Editore: World Scientific Publishing Company, Incorporated, 2006
ISBN 10: 9812703551 ISBN 13: 9789812703552
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 175,07
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. pp. xxxi + 387.
Lingua: Inglese
Editore: World Scientific Publishing Company, 2006
ISBN 10: 9812703551 ISBN 13: 9789812703552
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Taylor and Francis Inc, US, 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 209,84
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications.The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning.
Lingua: Inglese
Editore: World Scientific Publishing Company, 2006
ISBN 10: 9812703551 ISBN 13: 9789812703552
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 194,03
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: liu xing, Nanjing, JS, Cina
EUR 35,44
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: Good. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Floral patterns - [1 September 1978. Edition 1 India]Four Satisfaction guaranteed,or money back.
Da: moluna, Greven, Germania
EUR 164,72
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. The authors are international authorities and leaders on the presented topics. All are fellows of the Institute of Mathematical Statistics and the American Statistical Association. Jianqing Fan is Frederick L. Moore Professor, Princeton Uni.
Lingua: Inglese
Editore: World Scientific Publishing Company, 2006
ISBN 10: 9812703551 ISBN 13: 9789812703552
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Taylor and Francis Inc, US, 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Hardback. Condizione: New. Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications.The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning.