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Free 644
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Article 644
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English 553 Undetermined 90 Portuguese 1
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Leeuw, Jan de 18 Hornik, Kurt 13 Zeileis, Achim 13 Hankin, Robin K. S. 10 Mair, Patrick 10 Marsaglia, George 10 King, Gary 8 Wickham, Hadley 8 Eddelbuettel, Dirk 7 Højsgaard, Søren 7 Handcock, Mark S. 6 Hilbe, Joseph 6 Lumley, Thomas 6 Sanchez, Juana 6 Valero-Mora, Pedro M. 6 Butts, Carter T. 5 Fox, John 5 Hunter, David R. 5 Michailides, George 5 Morris, Martina 5 Mullen, Katharine M. 5 Petzoldt, Thomas 5 Tabelow, Karsten 5 Tsang, Wai Wan 5 Altman, Micah 4 Bowman, Adrian 4 Cook, Dianne 4 Gramacy, Robert B. 4 Grün, Bettina 4 Hahsler, Michael 4 Leisch, Friedrich 4 Maindonald, John 4 Meyer, David 4 Oja, Hannu 4 Polzehl, Jörg 4 Sheng, Yanyan 4 Soetaert, Karline 4 Somerville, Paul N. 4 Stokkum, Ivo H. M. van 4 Tierney, Luke 4
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Journal of Statistical Software 644
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RePEc 644
Showing 231 - 240 of 644
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Analysis of Integrated and Cointegrated Time Series with R (2nd Edition)
Eddelbuettel, Dirk - In: Journal of Statistical Software 30 (2009) b05
Persistent link: https://www.econbiz.de/10008487778
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Processing Ecological Data in R with the mefa Package
Sólymos, Péter - In: Journal of Statistical Software 29 (2009) i08
mefa is an R package for multivariate data handling in ecology and biogeography. It provides object classes to represent the data coded by samples, taxa and segments (i.e., subpopulations, repeated measures). It supports easy processing of the data along with relational data tables for samples...
Persistent link: https://www.econbiz.de/10008487779
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Nonlinear Regression with R
Leeuw, Jan de - In: Journal of Statistical Software 29 (2009) b06
Persistent link: https://www.econbiz.de/10008487781
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Computational Statistics: An Introduction to R
Eddelbuettel, Dirk - In: Journal of Statistical Software 32 (2009) b02
Persistent link: https://www.econbiz.de/10008487782
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SMCTC: Sequential Monte Carlo in C++
Johansen, Adam M. - In: Journal of Statistical Software 30 (2009) i06
Sequential Monte Carlo methods are a very general class of Monte Carlo methods for sampling from sequences of distributions. Simple examples of these algorithms are used very widely in the tracking and signal processing literature. Recent developments illustrate that these techniques have much...
Persistent link: https://www.econbiz.de/10008487784
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Design and Analysis of Experiments: Classical and Regression Approaches with SAS
Lenth, Russell V. - In: Journal of Statistical Software 29 (2009) b05
Persistent link: https://www.econbiz.de/10008487785
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The Enhancement of Teaching Materials for Applied Statistics Courses by Combining Random Number Generation and Portable Document Format Files via LaTeX
Dryver, Arthur - In: Journal of Statistical Software 31 (2009) c03
Persistent link: https://www.econbiz.de/10008487788
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Introduction to Probability with R
Maloney, Laurence T. - In: Journal of Statistical Software 30 (2009) b01
Persistent link: https://www.econbiz.de/10008487791
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Mixed Effects Models and Extensions in Ecology with R
Christ, Aaron - In: Journal of Statistical Software 32 (2009) b01
Persistent link: https://www.econbiz.de/10008487793
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Statistical Learning from a Regression Perspective
Maindonald, John - In: Journal of Statistical Software 29 (2009) b12
Persistent link: https://www.econbiz.de/10008487794
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