Delhi University Library System Search for 'su:{ Smoothing}'

Adaptive Tests of Significance Using Permutations of Residuals with R and SAS

]]> By O'Gorman, Thomas W.
New Jersey : Wiley , 2012 .
xvii,345p. , Included Appendix 283-332p.; References 333-340p.; Index 341-345p. 9780470922255

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Adaptive Tests of Significance Using Permutations of Residuals with R and SAS

]]> By O'Gorman, Thomas W. .
Hoboken : Wiley , 2012 .
xvii,345p. , Includes References 333-340p.; Index 341-345p. 9780470922255

]]> Place hold on Adaptive Tests of Significance Using Permutations of Residuals with R and SAS

Applied Smoothing Techniques for Data Analysis The Kernel Approach with S-Plus Illustrations

]]> By Bowman.
Oxford University PressOxford University Press 2023 9781383024005

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Asymmetric Kernel Smoothing

]]> By Masayuki Hirukawa.
Springer 2018 9789811054662

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Bayesian Filtering and Smoothing

]]> By Särkkä.
Cambridge University Press 2014 9781139344203

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Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data

]]> By Fahrmeir, Kneib.
Oxford University PressOxford University Press 2011 9780191728501

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Exploratory data analysis with matlab

]]> By Martinez Wendy L.
Boca Raton CRC Press 2017 .
xxv,590p. ill. , Appendix 503-549p.; References 551-574p.; Author index 575-581p.; Subject index 583-590p. cm.
9781498776066 (hbk)

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Extrapolation, interpolation, and smoothing of stationary time series with engineering applications

By Wiener, Norbert.
Cambridge MIT Press 1964 .
ix, 163 p.

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Extrapolation, Interpolation, and Smoothing of Stationary Time Series: With Engineering Applications

By Wiener.
IEEE

]]> Place hold on Extrapolation, Interpolation, and Smoothing of Stationary Time Series: With Engineering Applications

Flexible Regression and Smoothing Using GAMLSS in R

]]> By Mikis D. Stasinopoulos; Robert A. Rigby; Gillian Z. Heller; Vlasios Voudouris; Fernanda De Bastiani.
Taylor and Francis 2017 9781315269870

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Forecasting with exponential smoothing The state space approach

By Hyndman Rob J.
Berlin Springer-Verlag 2008 .
xiii, 357p. , Bibliography : P 339-48 cm..
9783540719160

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Forecasting with exponential smoothing The state space approach

By Hyndman Rob J.
Berlin Springer-Verlag 2008 .
xiii, 357p. , Bibliography : P 339-48 cm..
9783540719160

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Forecasting with exponential smoothing:the state space approach

]]> By Hyndman Rob J.
Berlin Springer 2008 .
xiii, 359p. , References 339-348p.; Index 349-358p. cm..
9783540719168 (pbk)

]]> Place hold on Forecasting with exponential smoothing:the state space approach

The GETMe Mesh Smoothing Framework A Geometric Way to Quality Finite Element Meshes

]]> By Dimitris Vartziotis; Joachim Wipper.
Taylor and Francis 2018 9780429399626

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Gradient Smoothing Methods with Programming: Applications to Fluids and Landslides

]]> By Liu Gui-Rong Et Al.
World Scientific | WSPC 2023 9789811280016

]]> Place hold on Gradient Smoothing Methods with Programming: Applications to Fluids and Landslides

In all likelihood: statistical modelling and inference using likelihood

]]> By Pawitan Yudi.
United kingdom Oxford U Press 2013 .
xiii, 528p. , Bibliography 503-514p.; Index 515-528p. 9780199671229 (pbk) | SL01562395

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Industrial and business forcasting methods a practical guide to exponential smoothing and curve fitting

By Lewis Golin D.
Lodnon Butterworth Scientific 1982

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Industrial and business forecasting methods A practical guide to exponential smoothing and curve fitting

By Lewis Colin D.
1982

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Introduction to time series analysis and forecasting

]]> By Montgomery Douglas C..
New Jersey John Wiley 2015 .
xiv,643p. ill. , Appendix 561-630p.; Bibliography 631-637p.; Index 639-643p. cm.
9781118745113 (hbk)

]]> Place hold on Introduction to time series analysis and forecasting

Introduction to time series analysis and forecasting

]]> By Montgomery Douglas C..
New Jersey John Wiley 2015 .
xiv,643p. ill. , Appendix 561-630p.; Bibliography 631-637p.; Index 639-643p. cm.
9781118745113 (hbk)

]]> Place hold on Introduction to time series analysis and forecasting

Kernel smoothing

]]> By Wand M P.
London Chapman Hall 1995 .
xii,212p , Bibliographical references 193-207p; Index 208-212p 0412552701 (hbd)

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Kernel Smoothing

]]> By M.P. Wand; M.C. Jones.
Taylor and Francis 1994 9780429170591

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Kernel Smoothing in Matlab: Theory and Practice of Kernel Smoothing

]]> By Horova Ivanka Et Al.
World Scientific | WSPC 2012 9789814405492

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Multivariate Kernel Smoothing and Its Applications

]]> By José E. Chacón; Tarn Duong.
Taylor and Francis 2018 9780429485572

]]> Place hold on Multivariate Kernel Smoothing and Its Applications

National Supervision and Income Smoothing in Banks’ Annual Reports

]]> By Costanza Di Fabio.
Springer 2021 9783030740115

]]> Place hold on National Supervision and Income Smoothing in Banks’ Annual Reports

New Perspectives of Profit Smoothing

]]> By Domitilla Magni.
Springer 2019 9783030212865

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Nonlinear filtering and smoothing An intorduction

By Krishnan Vonkatarma.
NY Johnn Wiley 1984 .
xiii, 314P , Bibliography: P 307-10 cm..

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Nonlinear filtering and smoothing:An introduction to martingales,stochastic integrals and estimations

By Krishnan Venkatarama.
New York John Wiley 1984 .
xiii,314p. , Bibliography 307-10p cm..

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Nonparametric models for longitudinal data: With implementation in R.

]]> By Wu Colin O.
Boca Raton CRC 2018 .
xxix, 551p. iil. cm.
9781466516007 (hbk)

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Nonparametric regression and spline smoothing

]]> By Eubank Randall L.
New York Marcel Dekker, Inc 1999 .
xi, 338p , Bibliography 311-332p; Index 335-338p 0824793374 (hbd)

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Nonparametric Regression and Spline Smoothing

]]> By Randall L. Eubank.
Taylor and Francis 1999 9780429182679

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Practical Smoothing

]]> By Eilers/Marx.
Cambridge University Press 2021 9781108610247

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Smoothing a Critical Transition

]]> By Xiaolong Hu.
Springer 2020 9789811540356

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Smoothing and approximation of functions

By Shapiro Harold S.
NY Van Nostrand 1969 .
viii,134p. , Bibliography P 127-34 cm..

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Smoothing and Decay Estimates for Nonlinear Diffusion Equations

]]> By Vázquez.
Oxford University PressOxford University Press 2007 9780191707919

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Smoothing and Decay Estimates for Nonlinear Diffusion Equations : Equations of Porous Medium Type

]]> By Vázquez, Juan Luis .
New York : Oxford University Press, 2006 .
xiii, 234p. 9780199202973

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Smoothing forecasting and prediction of discreate time series

By Brown R G.
New Jersey New Jersey, Prentice-Hall 1963 .
468p

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Smoothing forecasting and prerdiction of discrete

By Brown Robert Goodell.
1963

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Smoothing methods in statistics

]]> By Simonoff Jeffrey S.
New York Springer-Verlag 1996 .
xii,338p+117fig , Appendix A-B,275-289p; Bibliographical references 290-320p; Indexes 321-338p 0387947167 (hbd)

]]> Place hold on Smoothing methods in statistics

Smoothing of multivariate data:density estimation and visualization

]]> By Klemela Jussi.
New Jersey Wiley 2009 .
xxvi, 603p. , Includes bibliographical references.; Appendices A-E, 501-574p.; References 575-590p.; Index 591-603p. cm..
9780470290880 (hbd)

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Smoothing spline ANOVA models

]]> By Gu Chong.
New York Springer-Verlag 2002 .
xiii, 289p. , Bibliographical references 261-271p; Indexes 273-289p cm..
0387953531 (hbd)

]]> Place hold on Smoothing spline ANOVA models

Smoothing splines Methods and applications.

By Wang Yuedong.
Boca Raton CRC Press 2011 .
xxiv,370p cm..

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Smoothing splines Methods and applications

]]> By Wang Yuedong.
London CRC Press 2011 .
xxiv, 370p , Bibliography: P 347-54; Appendix: P 323-45 cm..
9781420077551

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Smoothing Splines Methods and Applications

]]> By Yuedong Wang.
Taylor and Francis 2011 9780429146923

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Smoothing techniques: with implemetation in S

By Hardle Wolfgang.
New York Springer-Verlag 1991 .
xii, 261p. cm..

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State-space methods for time series analysis: Theory, applications and software

]]> By Casals Jose.
Boca Raton CRC Press 2016 .
xxvii,269p. ill. , Appendics 191-246p.; Bibliography 247-260p.; Author index 261-264p.; Subject index 265-269p. cm.
9781482219593 (hbk)

]]> Place hold on State-space methods for time series analysis: Theory, applications and software

Time series for economics and finance

]]> By Linton, Oliver.
New York Cambridge University Press 2025 .
xxii, 430 p. 9781009396264

]]> Place hold on Time series for economics and finance

Using Artificial Neural Networks for Timeseries Smoothing and Forecasting

]]> By Jaromír Vrbka.
Springer 2021 9783030756499

]]> Place hold on Using Artificial Neural Networks for Timeseries Smoothing and Forecasting

Workshop on Smoothing techniques for curve estimation

By Gasser Th Ed..
Berlin Springs-Verlay 1979 .
245p. cm..

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