coefmatrix(SpherWave)
coefmatrix()所属R语言包:SpherWave
Computation of Coefficients of SBF and SW
SBF和SW系数计算
译者:生物统计家园网 机器人LoveR
描述----------Description----------
This function generates several coefficients such as coefficients of SBF in spherical wavelets (SW), coefficients of SBF after removing subnet l, and coefficients of SW for subnet l.
此功能会产生球面小波系数的SBF(SW),取出后,子网l,和系数SW的子网lSBF系数等几个系数。
用法----------Usage----------
coefmatrix(beta1, fullcov, netlab, l)
参数----------Arguments----------
参数:beta1
coefficients of SBF from previous SBF representation
SBF从SBF表示以前的系数
参数:fullcov
covariance matrix of all observation sites
所有观测点的协方差矩阵
参数:netlab
vector of labels representing sub-networks
向量的代表子网络的标签
参数:l
resolution level
分辨率级别
Details
详细信息----------Details----------
The multiresolution analysis based on SBF is derived from the problem of characterizing the loss in an SBF representation as the number of observations are more larger. This function provides the coefficients of basis functions of multiresolution levels. For details, see references below.
多分辨率分析来自从在SBF表示特征的损失作为观测值的数量较多的大的问题的基础上SBF。此功能提供了基础功能的多分辨率水平系数。有关详细信息,请参阅下面的参考资料。
值----------Value----------
<table summary="R valueblock"> <tr valign="top"><td>wcoef</td> <td> coefficients of SBF in SW</td></tr> <tr valign="top"><td>beta2</td> <td> coefficients of SBF after removing sub-network l</td></tr> <tr valign="top"><td>gamma1</td> <td> coefficients of SW for sub-network l</td></tr> <tr valign="top"><td>alpha1</td> <td> detailed coefficients of SBF for sub-network l</td></tr> <tr valign="top"><td>norm</td> <td> norms of SW for sub-network l</td></tr> </table>
<table summary="R valueblock"> <tr valign="top"> <TD> wcoef</ TD> <TD>系数SBF SW </ TD> </ TR> <TR VALIGN =“顶“<TD> beta2 </ TD> <TD>系数SBF取出后,子网络l </ TD> </ TR> <tr valign="top"> <TD> gamma1</ TD> <TD>子网络l </ TD> </ TR> <tr valign="top"> <TD>alpha1</ SW系数TD> <TD>子网络l</ TD> </ TR> <tr valign="top"> <TD> norm</ TD> <TD>规范的细节系数的SBF SW为子网l </ TD> </ TR> </ TABLE>
参考文献----------References----------
Oh, H-S. (1999) Spherical wavelets and their statistical analysis with applications to meteorological data. Ph.D. Thesis, Department of Statistics, Texas A\&M University, College Station.
Li, T-H. (1999) Multiscale representation and analysis of spherical data by spherical wavelets. SIAM Journal on Scientific Computing, 21, 924–953.
Oh, H-S. and Li, T-H. (2004) Estimation of global temperature fields from scattered observations by a spherical-wavelet-based spatially adaptive method. Journal of the Royal Statistical Society Ser. B, 66, 221–238.
参见----------See Also----------
mracoef.comp
mracoef.comp
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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