Search Results

You are looking at 11 - 20 of 14,779 items for :

  • Regression analysis x
  • All content x
Clear All
Paul E. Roundy

threshold applied by Roundy (2012a) , which limited the analysis to a small sample of events), and they are also robust when data in the easterly background wind environments opposite the equator from the westerly wind monsoon regions are also retained in the analysis (not shown). Although Roundy (2012a) showed no gap in the wavenumber–frequency spectrum of OLR signals over warm-pool regions between the segments of the spectrum characteristic of Kelvin waves and the MJO, the wavelet regression

Full access
Naresh Devineni, Upmanu Lall, Neil Pederson, and Edward Cook

canonical regression analysis to reconstruct the July–September streamflow for the Potomac River using tree-ring chronologies from nearby sites. Cook and Jacoby (1977) also examined the drought in the Hudson River Valley by reconstructing the Palmer Drought Severity Index (PDSI) using a stepwise regression analysis. Recently, Maxwell et al. (2011) reconstructed the Potomac River streamflow dating back to 950 using a network of tree-ring chronologies from multiple species. Kauffman and Vonck (2011

Full access
Harry R. Glahn

JANUARY 1968 H A R R Y R. G L A H N 23Canonical Correlation and Its Relationship to Discriminant Analysis and Multiple Regression HARRY R. GLAHN1Weather Bureau, ESSA, Silver Spring, Md.(Manuscript received 26 June 1967)ABSTRACT Canonical correlation analysis is concerned with the determination of a linear combination of each of twosets of variables such that the correlation

Full access
Pascal Matte, David A. Jay, and Edward D. Zaron

water level variations can be captured in analytical solutions of the one-dimensional St. Venant equations. The solutions are based on a decomposition of the nonlinear friction term (e.g., Dronkers 1964 ; Godin 1999 ) into contributions caused by external parameters and nonlinear interactions. Simple regression models, exploiting the results of tidal analysis [whether HA, continuous wavelet transform (CWT), or some other form], can be used to identify and predict the relative importance of these

Full access
Alain Lahellec and Jean-Louis Dufresne

analysis and the feedback gain approach is only valid at equilibrium. In other situations, the surface layer divergence does not equal the outgoing TOA budget. Care should thus be taken when dealing with nonsteady analysis and we will come back to this difficulty in the next paragraph. b. From PRP to the regression method Extending the PRP approach, Gregory et al. (2004) proposed an innovative method to determine the global climate sensitivity to forcing from regression between the amplitudes of time

Full access
Caren Marzban, Robert Tardif, and Scott Sandgathe

contrast, p values provide information only on the former. 2) Other forecast fields The above analysis is repeated on all forecast quantities F1–F9 in Table 2 . The results are complex and lend themselves to a wide range of interpretations. Table 3 summarizes the most clear and unambiguous findings. The “Influential” model parameters are selected based on both the magnitude and the variability of the effect of the model parameters, assessed qualitatively from the boxplots of the regression

Restricted access
T. Ghosh and T. N. Krishnamurti

1. Introduction Consensus forecasts for meteorological events were operationally used in the pioneering studies of Toth and Kalnay (1993 1997 ), Molteni et al. (1996) , Houtekamer et al. (1996) , and Goerss (2000) . Krishnamurti et al. (1999) introduced the notion of a multimodel superensemble (MMSE) to combine multimodel forecast datasets using a linear multiple regression approach that utilized the mean-square error reduction principle. Studies reported on the efficiency of this

Full access
D. Ouali, F. Chebana, and T. B. M. J. Ouarda

also integrated the QR tool when dealing with precipitation analysis, such as Tareghian and Rasmussen (2013) and Choi et al. (2014) . In the present paper, the aim is to investigate the applicability, potential, and benefits of the QR technique in the RFA context. The performance of the proposed approach is evaluated through a rigorous comparison with the classical regression model. To avoid confusion, note that in some studies, for instance, Palmen et al. (2011) and Haddad and Rahman (2012

Full access
Danielle E. Nagele and Joseph E. Trainor

experience) and 1 (at least one experience). All variables were coded using Statistical Package for the Social Sciences (SPSS). SPSS was also used for the data analysis. A multinomial logistic regression was performed to determine the relationship between the dependent variables and the independent variable. 8. Results Table 2 shows a correlation matrix of all independent and dependent variables. This matrix provides support for many but not all of our hypothesized relationships, as detailed below

Full access
Gyu Ho Lim and John M. Wallace

1718 JOURNAL OF THE ATMOSPHERIC SCIENCES VOL. 48, No. 15Structure and Evolution of Baroclinic Waves as Inferred from Regression Analysis Gvu He Lnv~* AND JOHN M. WALLACEDepartmem of Atmospheric Sciences, University of Washington, Seattle, Washington(ManuScript received 2 May 1990, in final form 27 Februar~ 1991) The structure of transient disturbances with periods shorter than a week is documented on the basis of onepoint

Full access