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@ -86,7 +86,7 @@ def sestimdenszchi(lzero,muzero,T,N):
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plt.plot(tt,k(tt),label="estim par noyau echantillon")
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#plt.plot(tt,[(1+np.cos((2*pi*t)/T))/T for t in tt],color="red")
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plt.plot(tt,lamepa,color="green",label="densite")
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plt.plot(tt,tlam,color="red",label="$\lambda$")
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plt.plot(tt,tlam,color="red",label=r"$\lambda$")
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plt.legend()
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break
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@ -141,10 +141,10 @@ def nsestimdenszchi(lzero,muzero,T,N,coeff=1.0,estimnoyau=False,image=False):
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if estimnoyau:
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plt.plot(tt,k(tt),label="echantillon")
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#plt.plot(tt,[(1+np.cos((2*pi*t)/T))/T for t in tt],color="red")
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#plt.plot(tt,lamepa,color="green",label="stable composition density $\lambda(t) e^{A(t)}$ ")
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#plt.plot(tt,lamepa,color="green",label=r"stable composition density $\lambda(t) e^{A(t)}$ ")
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plt.plot(tt,lamepa,color="green",label="stable composition density")
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#plt.plot(tt,tlam,color="red",label="$\lambda(t)$")
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plt.plot(tt,tlam,color="red",label="birth rate")
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plt.plot(tt,tlam,color="red",label=r"birth rate $\lambda(t)$")
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#plt.plot(tt,tlam,color="red",label="birth rate")
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plt.legend()
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if image:
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plt.savefig("stablecompolbdsinusoid.pdf",bbox_inches='tight',dpi=150)
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@ -175,7 +175,7 @@ def sisestimdenszchi(lzero,muzero,T,N):
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plt.plot(tt,k(tt),label="estim noyau")
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#plt.plot(tt,[(1+np.cos((2*pi*t)/T))/T for t in tt],color="red")
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plt.plot(tt,lamepa,color="green",label="densite")
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plt.plot(tt,tlam,color="red",label="$\lambda$")
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plt.plot(tt,tlam,color="red",label=r"$\lambda$")
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plt.legend()
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break
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