Draper, N. R.; Smith, H. Applied Regression Analysis. WileyInterscience, 3rd Ed., 1998. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
First 50 documents Next 50
Modeling of Uncertainty for the Real-Time Management of.. - Gröwe-Kuska, Nowak.. (Correct)
....More speci cally, we t models of the form d k = k0 k1 : kmk kmk ; k = 1; 5; 1; 24) 19) where the error term e kmk is normally distributed with zero mean and variance . These models are known as linear or polynomial regression models (cf. [10]) From (19) we obtain the predicted load records d k = k0 k1 : kmk ; k = 1; 5; 1; 24) 20) For model tting, regression diagnostics, and forecasting we used the statistical package S PLUS [30] It remains to answer the question how we selected the ....
Draper, N., Smith, H.: Applied Regression Analysis. Hafner, New York, second ed., 1981
Trading-off Local versus Global Effects of Regression - Nodes In Model (2002) (Correct)
.... growing model [5] However, this interpretation is not correct from a statistical point of view, since the incremental construction of a multiple linear regression model is made by removing the linear effect of the introduced variables each time a new independent variable is added to the model [3]. For instance, let us consider the problem of building a regression model Y=a bX 1 cX 2 through a sequence of straight line regressions. We start regressing Y on X 1 , so that the model Y = a 1 b 1 X 1 is built. This fitted equation does not predict Y exactly. By adding the new variable X 2 , ....
....eliminated from further consideration, so that it can appear only once in a regression node along a path from the root to a leaf. In SMOTI three different stopping criteria are implemented. The first uses the partial F test to evaluate the contribution to the model of a new independent variable [3]. The second requires the number of cases in each node to be greater than a minimum value. The third stops the induction process when all continuous variables along the path from the root to the current node are used in regression steps and there are no discrete variables in the training set. The ....
Draper N.R., & Smith H.: Applied regression analysis, John Wiley & Sons, 1982.
Recursive Position Estimation in Sensor Networks - Joe Albowicz Alvin (2001) (15 citations) (Correct)
.... reference point monitored by a node yields an equation of the following form: i i i i i z z y y x x d e = e is an error term) Typically, one estimates a position from such a system of equations through nonlinear regression ( 7, 13] detailed discussion of which can be found in [6, 7]. For the implementation discussed in this paper, the nodes used the linearization, or Taylor series, method. This method approximates the nonlinear system as a linear system by performing a Taylor series expansion about an initial estimate of the parameters and then solving for the parameters ....
....a Taylor series expansion about an initial estimate of the parameters and then solving for the parameters using standard regression. Linearization iteratively refines the estimated parameters. Unfortunately, in some cases the method may converge to erroneous values, oscillate wildly, or diverge [6]. Various techniques help minimize the likelihood of these situations. Careful selection of the initial estimated parameters (currently, an average of the reference positions) minimizes incorrect convergence. By only accepting parameters that have reached a quiescent state (i.e. subsequent ....
N. Draper and H. Smith, Applied Regression Analysis , John Wiley & Sons, 1966.
Continuous Evaluation In Training Systems Based On Web - de Moraes, Machado (2006) (Correct)
No context found.
Draper, N. R.; Smith, H. Applied Regression Analysis. WileyInterscience, 3rd Ed., 1998.
Evaluating forest growth models - Vanclay, Skovsgaard (1997) (2 citations) (Correct)
No context found.
Draper, N.R. and Smith, H., 1981. Applied Regression Analysis . Wiley" N.Y., 709 pp Efron, B. and Gong, G., 1983. A leisurel y look at the bootst rap, the ja kknife and rossvalidation.
The Correlation between U.S. Tornadoes and Pacific Sea.. - Caren Marzban National (Correct)
No context found.
Draper, N. R., and H. Smith, 1981: Applied Regression Analysis. John Wiley and Sons, 709 pp.
Evaluation of Training Executed by Web Using Fuzzy Rule.. - de Moraes, Machado (2005) (Correct)
No context found.
Draper, N. R.; Smith, H.; Applied Regression Analysis. WileyInterscience, 3rd Ed., 1998.
Evaluation of Training Executed by Web Using Multilayer.. - Machado, de Moraes (2006) (Correct)
No context found.
Draper, N. R. Smith, H.; Applied Regression Analysis. WileyInterscience, 3rd Ed., 1998.
Range and Mechanism of Encoding of Horizontal Disparity - In Macaque Prince (Correct)
No context found.
DRAPER NR AND SMITH HS. Applied Regression Analysis (3rd ed.). New York: Wiley, 1998.
Performance and Effectiveness Trade-Off for.. - Katsaros, Angelis, Lazos (2006) (Correct)
No context found.
Draper N., Smith H. Applied regression analysis. 2nd edition, Wiley, 1981.
Do We Need Linguistics When We Have - Statistics Comparative Analysis (1996) (Correct)
No context found.
Norman R. Draper and Harry Smith. Applied Regression Analysis. Wiley, New York, 2nd edition, 1981.
Regression analysis and automorphic orbits in free groups.. - Alexei Miasnikov Robert (2004) (Correct)
No context found.
N. Draper and H. Smith. Applied Regression Analysis. Wiley, 3rd edition, 1998.
Regression analysis and automorphic orbits in free groups.. - Alexei Miasnikov Robert (2004) (Correct)
No context found.
N. Draper and H. Smith. Applied Regression Analysis. Wiley, 3rd edition, 1998.
A Comparative Study of RNN for Outlier Detection in.. - Williams, Baxter, He.. (2002) (Correct)
No context found.
N. R. Draper and H. Smith. Applied Regression Analysis. John Wiley and Sons, New York, 1966.
Studies of Microarray Data Analysis with Applications for Human .. - Hautaniemi (Correct)
No context found.
N. Draper and H. Smith. Applied regression analysis. John Wiley & Sons, 3rd edition, 1998.
Improving the Real-Time Performance of a Wireless Local Area.. - Baldwin (1999) (Correct)
No context found.
N. R. Draper and H. Smith. Applied Regression Analysis, 2nd Edition.John Wiley and Sons Ltd., New York, NY, 1981.
Unknown - (Correct)
No context found.
Draper, N.R. & Smith, H. 1981. Applied regression analysis. 2nd ed. New York: John Wiley. xiv, 709 pp. QA276 .D76 1981 Mann, Engineering reserve
Mining Model Trees: A Multi Relational Approach - Annalisa Appice Michelangelo (2003) (1 citation) (Correct)
No context found.
Draper N.R. & Smith H.: Applied regression analysis, John Wiley & Sons, 1982.
Study of Distance Vector Routing Protocols for Mobile Ad Hoc.. - Yi Lu Weichao (2003) (2 citations) (Correct)
No context found.
N. R. Draper and H. Smith. Applied Regression Analysis (Third Edition). John Wiley & Sons, Inc., 1998.
A Strategy for Identifying Class-Separating Genes.. - Hautaniemi.. (2003) (Correct)
No context found.
Draper, N., Smith, H. Applied regression analysis. 3rd edition, John Wilb & Sons 1998.
On The Significance Of Nongeneric Total Least - Squares Problems Sabine (Correct)
No context found.
N. R. DRAPER and H. SMITH, Applied regression analysis, John Wiley, New York, second ed., 1981.
Top-Down Induction of Model Trees with Regression and .. - Malerba, Esposito.. (2004) (Correct)
No context found.
N. Draper and H. Smith, Applied Regression Analysis. John Wiley & Sons, 1982.
Hidden Markov Models for Endpoint Detection in Plasma Etch.. - Ge, Smyth (2001) (Correct)
No context found.
N. R. Draper and H. Smith. Applied Regression Analysis. John Wiley & Sons, Inc, 1998.
Parametric Model Generation Algorithm for Planar Microwave - Structures Based On (Correct)
No context found.
N. Draper and H. smith, "Applied Regression Analysis," New york -- John Wiley , 3 Edition 1998.
F. Esposito (Ed.): AI*IA 2001, LNAI 2175, pp. 20-32, 2001. - Springer-Verlag Berlin.. (2001) (Correct)
No context found.
# Draper N.R., & Smith H.: Applied regression analysis, John Wiley & Sons, 1982.
First 50 documents Next 50
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC