"Data Analysis by Resampling: Concepts and Applications"

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Book	Author(s)	Year	Publisher
Data Analysis by Resampling: Concepts and Applications	Clifford E. Lunneborg	December 29, 1999	Duxbury Press
Resampling Methods: A Practical Guide to Data Analysis	Phillip I. Good	2nd ed. 2001	Birkhäuser Boston
Resampling Methods: A Practical Guide to Data Analysis	Phillip I. Good	3rd ed. 2006	Birkhäuser Boston
Resampling Methods: A Practical Guide to Data Analysis	Phillip I. Good; Philip Good	1999	Birkhäuser Boston
A Practical Guide to Data Analysis Resampling Methods	Phillip I. Good	2005	Birkhäuser Boston
Big Data Analysis for Green Computing: Concepts and Applications	Rohit Sharma; Dilip Kumar Sharma; Dhowmya Bhatt; Binh Thai Pham	2021	Routledge
Data entry, concepts and applications	Beth Moorer Buzby	1981	Science Research Associates
Data communications: concepts and applications	Tom McGovern	1988	Prentice-Hall Canada
Resampling Methods for Dependent Data	S. N. Lahiri	2003	Springer New York
Regression Analysis: Concepts and Applications	Franklin A. Graybill, Hariharan K. Iyer	1994	Duxbury Pr
Economics: concepts, analysis, and applications	Orley M. Amos	1987	Wadsworth Pub. Co.
Macroeconomics: concepts,analysis,and applications	Orley M. Amos	1987	Wadsworth Pub. Co.
Big Data Concepts, Theories, and Applications	Shui Yu; Song Guo	1st ed. 2016	Springer International Publishing
Data Analytics: Concepts, Techniques, and Applications	Mohiuddin Ahmed; Al-Sakib Khan Pathan	2018	Routledge
Data Analysis and Applications 4 - Financial Data Analysis and Methods	Andreas Makrides; Alex Karagrigoriou; Christos H. Skiadas	2020	John Wiley & Sons
Sensor and data fusion concepts and applications	Lawrence A. Klein	1999	SPIE
Wavelet Analysis: Basic Concepts and Applications	Sabrine Arfaoui; Anouar Ben Mabrouk; Carlo Cattani	2021	Routledge
Data Science Concepts and Techniques with Applications	Usman Qamar; Muhammad Summair Raza	1st ed. 2020	Springer Nature Singapore
Contrast Data Mining: Concepts, Algorithms, and Applications	Guozhu Dong; James Bailey	2012	Routledge
The data base environment: concepts and applications	Ken S. Brathwaite	1990	Van Nostrand
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Resampling Applications	Maria L. Rizzo	Statistical Computing with R	Maria L. Rizzo	2019	Routledge
Resampling Data		Effective Pandas: Patterns for Data Manipulation (Treading on Python)	Matt Harrison	2021	‎Independently published
Resampling Data		The Data Science Workshop	Robert John; Samuel Asare; Andrew Worsley; Thomas Joseph; Anthony So	2020	Packt Publishing, Limited
Resampling Data		The Data Science Workshop: A New, Interactive Approach to Learning Data Science	Anthony So; Thomas V. Joseph; Robert Thas John; Andrew Worsley; Dr. Samuel Asare	2020	Packt Publishing
Data Resampling	Hisham El-Amir; Mahmoud Hamdy	Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow	Hisham El-Amir; Mahmoud Hamdy	1st ed.	Apress
Econometric applications and resampling	Jérôme Dedecker; Paul Doukhan; Gabriel Lang; León R. José Rafael; Sana Louhichi; Clémentine Prieur	Weak Dependence: With Examples and Applications	Jérome Dedecker; Paul Doukhan; Gabriel Lang; José Rafael Leon; Sana Louhichi; Clémentine Prieur	2007	Springer New York
Data and Concepts Analysis	Octavian Iordache	Polytope Projects	Octavian Iordache	2013	Routledge
Duration Concepts, Analysis, and Applications	Zvika Afik; Iraj Fooladi; Gady Jacoby; Gordon Roberts	Encyclopedia of Finance	Cheng-Few Lee; Alice C. Lee	0th ed. 2021	Springer International Publishing
Resampling the Data		Mining Social Media-Finding Stories in Internet Data	Lam Thuy Vo	2019	No Starch Press
Resampling the Data		Mining Social Media: Finding Stories in Internet Data	Lam Thuy Vo	2019	No Starch Press
Resampling the Data		Applied Supervised Learning with R: Use machine learning libraries of R to build models that solve business problems and predict future trends	Karthik Ramasubramanian, Jojo Moolayil	2019	Packt Publishing
Resampling of data		Mastering pandas	Ashish Kumar	2019	Packt Publishing, Limited
Data Analysis: Concepts and Coding		Doing Excellent Small-Scale Research	Derek Layder	November 2012	SAGE Publications Ltd
Big Data: Concepts, Challenges and Applications	Imen Chebbi; Wadii Boulila; Imed Riadh Farah	Computational Collective Intelligence: 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part II	Manuel Núñez; Ngoc Thanh Nguyen; David Camacho; Bogdan Trawiński	1st ed. 2015	Springer International Publishing
Big Data: Concepts, Technologies, and Applications	Bernice M. Purcell	Encyclopedia of Information Systems and Technology	Phillip A. Laplante; Vladimir Stantchev; Jeff Voas; Anne-Marie Smith; Qiuming Zhu; Morris Chang; Irena Bojanova; David Alan Grier; Jia Zhang; Thomas Costello; San Murugesan; Jim Goldman; Joanna DeFranco	2015	Routledge
42 Data Mining Concepts and Applications		Business intelligence: a managerial perspective on analytics	Delen, Dursun; Sharda, Ramesh; Turban, Efraim	2019;2014	Pearson
52 Data Mining Concepts and Applications		Business intelligence and analytics: systems for decision support	Sharda, Ramesh; Turban, Efraim; Delen, Dursun; Aronson, Janine	2013;2015	Pearson
42 Data Mining Concepts and Applications		Business intelligence, analytics, and data science: a managerial perspective	Sharda, Ramesh; Delen, Dursun(Contributor); Turban, Efraim(Contributor)	2017;2018	Pearson
52 Data Mining Concepts and Applications		Decision Support And Business Intelligence Systems	Dursun Delen Efraim Turban, Ramesh Sharda	2010	Pearson Education
Imbalanced Data and Resampling Techniques	Tilo Wendler; Sören Gröttrup	Data Mining with SPSS Modeler: Theory, Exercises and Solutions	Tilo Wendler; Sören Gröttrup	2nd ed. 2021	Springer International Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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