(Source: theprayingwoman)

danceformoi:

i just came back from a serious religious talk with a friend.
she was sharing how she believed in God but everything that makes it up doesn’t make sense to her, it sounds all fictional. I don’t think having doubts isn’t bad, i think it’s a good way to understand something better. But in her case,…

tiffanyspeaks:

It’s again the quarterly meeting for the members of the actuarial community. Here in my seat I see less than 100 people socializing with each other, establishing new connections or trying to maintain some. I personally am a newbee at this. This is my second time to attend an assembly and the only…

darwinrhodesus:

Here at Darwin Rhodes USA, we have tons of opportunities that are waiting to be filled by talented individuals such as yourself. Placing candidates in successful careers is our number one priority. How do we do it? We make our presence strong in social media networks such as Facebook, Twitter,…

(Source: darwinrhodes.us)

indexfundsadvisors:

(via indexfundsadvisors-deactivated2)

goodmostlywins:

Fibonacci’s Eye. 

arxiv-math:

Authors: Abhishek Bhattacharya, Arup Bose

This project revolves around studying estimators for parameters in different Time Series models and studying their assymptotic properties. We introduce various bootstrap techniques for the estimators obtained. Our special emphasis is on Weighted Bootstrap. We establish the consistency of this scheme in a AR model and its variations. Numerical calculations lend further support to our consistency results. Next we analyze ARCH models, and study various estimators used for different error distributions. We also present resampling techniques for estimating the distribution of the estimators. Finally by simulating data, we analyze the numerical properties of the estimators.

allforfun:

Grind.

amazingkendra:

Imma going to TEACH YOU.

Bisaya Lesson #1.

Basic muna.

Good Morning-Maayong Buntag.

Good Noon-Maayong Udto.

Good Afternoon-Maayong Hapon.

Good Evening-Maayong gabi-i.

Thank you very much-Daghang Salamat.

Thank You-Salamat

I Love You-Gihigugma kita.