updated scripts for SSH, zero M error handling

src/StationarySeismicHazardAnalysis/dist_NPT.m

@@ -4,8 +4,8 @@
 %   AND CUMULATIVE DISTRIBUTION FUNCTIONS FOR THE UPPER-BOUNDED MAGNITUDE 
 %   DISTRIBUTION.
 %
-% AUTHOR: Stanislaw. Lasocki, Institute of Geophysics Polish Academy of
-% Sciences, Warsaw, Poland
+%
+% AUTHOR: S. Lasocki 06/2014 within IS-EPOS project.
 %
 % DESCRIPTION: The kernel estimator approach is a model-free alternative 
 % to estimating the magnitude distribution functions. It is assumed that 
@@ -51,11 +51,16 @@
 %     This program is distributed in the hope that it will be useful,
 %     but WITHOUT ANY WARRANTY; without even the implied warranty of
 %     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-%     GNU General Public License for more details , <http://www.gnu.org/licenses/>.
+%     GNU General Public License for more details.
 % 
 
 function [m,PDF_NPT,CDF_NPT]=dist_NPT(Md,Mu,dM,Mmin,eps,h,xx,ambd,Mmax)
 
+% -------------- VALIDATION RULES -------------  K_21NOV2016
+ if dM<=0;error('Magnitude Step must be greater than 0');end
+%----------------------------------------------------------
+
+
 m=(Md:dM:Mu)';
 nn=length(m);
 
@@ -77,7 +82,8 @@ function [gau]=dens_npr1(y,x,ambd,h,x1)
 
 %Nonparametric adaptive density for a variable from the interval [x1,inf)
 
-% x - the sample data doubled and sorted in the ascending order.
+% x - the sample data doubled and sorted in the ascending order. Use 
+%   "podwajanie.m" first to accmoplish that.
 % ambd - the local scaling factors for the adaptive estimation 
 % h - the optimal smoothing factor 
 % y - the value of random variable X for which the density is calculated