Okay!
So sorry if someone is following my blog... As you might have noticed that I've stopped further notes here... the reason is that I am too busy because of the office project and then preparing the CBSNT.
However, I've promised that to myself that I will come back, and post all my skills that I've got through DOE to this portal.
This would mainly include:
Basic Mathematics
Data Structure
C and C++
Discrete Mathematics
and of course cBSNT.
If you want me to notify you guys once I've started, please leave your e-mail address to my mail box.
cheers
Saturday, June 5, 2010
Thursday, April 29, 2010
Day 3: Learning from Lesson 3, Miller
Today was the hectic day in the office as I need to prepare and provide an architectural structure of failed project in my organization.
Well I've to move forward with my statistics study and day 3 is not that easy for me so far... half sleepy :S because of 15 hrs a day work :D...
Back to business...!
Before we can start with the real probability I think it is important to understand the basics of counting that covers the sets basics called Intersection, mutual exclusion, union.
In addition the counting by permutation theory where the object sequence matter and combination where the object sequence is not mattered.
Sample space: A set of all possible outcomes of an experience is called a sample space.
Event is the subset of sample space.
There are mutually exclusive events.
Tree diagrams are used to show all possibilities...
Probability has got the following axioms:
* It should be between 0 and 1.
* Probability of Sample space is 1.
* if A and B are any mutually exclusive events in S then P(A U B) = P(A) + P(B).
General addition rule
If A and B are any events in S then we add probability of A and B but subtract common probability.
Conditional Probability: If probability of A event is dependent on probability of B.
If the conditional probability of A|B is equal to probability of A then we call that A and B are independent.
If A and B are independent events then P(A) * P(B) is equal to Probability of A and B.
Bayes' theorem : Well what I've gathered so far is that one event must occur out of multiple mutually exclusive events.
I should be doing exercise this weekend and will scan my notes and paste here....
Also, I will be modifying these drafted blogs after my own book revisions :) so stay tune!!!.
As I've said in my previous blogging that I will be creating a separate section for formula and quick notes so don't worry if you have not got my English language :)
I'm off for the day , its 1 here and I have to wake up at 7... bhu bhu bhu :'(
Well I've to move forward with my statistics study and day 3 is not that easy for me so far... half sleepy :S because of 15 hrs a day work :D...
Back to business...!
Before we can start with the real probability I think it is important to understand the basics of counting that covers the sets basics called Intersection, mutual exclusion, union.
In addition the counting by permutation theory where the object sequence matter and combination where the object sequence is not mattered.
Sample space: A set of all possible outcomes of an experience is called a sample space.
Event is the subset of sample space.
There are mutually exclusive events.
Tree diagrams are used to show all possibilities...
Probability has got the following axioms:
* It should be between 0 and 1.
* Probability of Sample space is 1.
* if A and B are any mutually exclusive events in S then P(A U B) = P(A) + P(B).
General addition rule
If A and B are any events in S then we add probability of A and B but subtract common probability.
Conditional Probability: If probability of A event is dependent on probability of B.
If the conditional probability of A|B is equal to probability of A then we call that A and B are independent.
If A and B are independent events then P(A) * P(B) is equal to Probability of A and B.
Bayes' theorem : Well what I've gathered so far is that one event must occur out of multiple mutually exclusive events.
I should be doing exercise this weekend and will scan my notes and paste here....
Also, I will be modifying these drafted blogs after my own book revisions :) so stay tune!!!.
As I've said in my previous blogging that I will be creating a separate section for formula and quick notes so don't worry if you have not got my English language :)
I'm off for the day , its 1 here and I have to wake up at 7... bhu bhu bhu :'(
Wednesday, April 28, 2010
Day 2: Basic understanding on Statistics... (Book: Probability and Statistics for Engineers)
Welcome again...
As you must have seen in my yesterday's blog that I've started reading the statistics book.
My main intention is to finish the syllabus as of first week of June so that we have enough time to go through with the problems, solutions and previous question papers.
Considering this as a valid point that I've to finish the syllabus I've just changed the idea of using "Statistics" book. Now I would be studying from Irwin Miller book called "Probability and Statics for engineers" and the statistics book will go on side by side.
The first two chapter of Miller book has explained the basic things that we must know while reading Statistics. It is very important to clear that why we are using Statistics?
Statistics is meant to be the compressed meaningful data.
Mean, and median are two ways to show the average and middle part, respectively. They both are affected by if the given data are not closed by and hence we use Variance and Deviation.
The meaning of deviation is that the difference between data point and mean.
I've gone through from few formulas that you will be able to find this in my formula list (coming soon...).
For now it is enough and tomorrow we will study real Probability...
Good luck...
It is not enough to stare up the steps, we must step up the stairs. ~ Vaclav Havel
As you must have seen in my yesterday's blog that I've started reading the statistics book.
My main intention is to finish the syllabus as of first week of June so that we have enough time to go through with the problems, solutions and previous question papers.
Considering this as a valid point that I've to finish the syllabus I've just changed the idea of using "Statistics" book. Now I would be studying from Irwin Miller book called "Probability and Statics for engineers" and the statistics book will go on side by side.
The first two chapter of Miller book has explained the basic things that we must know while reading Statistics. It is very important to clear that why we are using Statistics?
Statistics is meant to be the compressed meaningful data.
Mean, and median are two ways to show the average and middle part, respectively. They both are affected by if the given data are not closed by and hence we use Variance and Deviation.
The meaning of deviation is that the difference between data point and mean.
I've gone through from few formulas that you will be able to find this in my formula list (coming soon...).
For now it is enough and tomorrow we will study real Probability...
Good luck...
It is not enough to stare up the steps, we must step up the stairs. ~ Vaclav Havel
Tuesday, April 27, 2010
Day 1: Design of experiments...(Book: Statistics)
I've just learned that there are always two groups while comparing items.
Called Subject - who gets the treatment
Called Control - who don't
The way we select who is subject and who is control is through randomized controlled such as tossing a coin...
I think I will pass these two chapter and move further for Descriptive Statistics (Part II)
That is for today and now I need to sleep as it 12:18 AM here in Australia....
Called Subject - who gets the treatment
Called Control - who don't
The way we select who is subject and who is control is through randomized controlled such as tossing a coin...
I think I will pass these two chapter and move further for Descriptive Statistics (Part II)
That is for today and now I need to sleep as it 12:18 AM here in Australia....
Goal Map - Computer Based Statistical & Numerical Techniques
The reason why many fail in life is that they have no plan of action that can take them from their dreams and insure a future of happiness and prosperity.
In this part of blogging I am going to share my own goal map that I am defining to achieve this exam... if you are on same position, please share your thoughts and let us just achieve.
"Computer Based Statistical & Numerical Techniques" (CBSNT) Course.
The entire course is divided in two two categories:
1) Numerical Techniques
2) Statistical Techniques.
In this blog I'm going to define the road map and the path I'm going to follow for this exam, which is going to be on 11 April 2010, 9:30 AM - 12:30 PM.
Numerical Techniques can be explained very well from Mr. Autar video that he has explained every concepts very well with fair examples. He has also given notes on his blog.
You can find all his videos at http://www.youtube.com/user/numericalmethodsguy#g/p
and notes can be found at http://numericalmethods.eng.usf.edu/
Goal Map:
As per the Amazon reviews, I've found the "Statistics" book written by Freedman, Pisani, Purves. It has explained the statistics without using any mathematical terms. While I'd only read the first chapter, I've found this book interesting because the humor is used, which has made it interesting to read this further. Even though this book has got 506 pages I'm expecting to finish this within a month, along with the course contents.
I'm also following couple of more books:
Goal Map:
Probability Theory - 27th - 30th April
... TODO...
In this part of blogging I am going to share my own goal map that I am defining to achieve this exam... if you are on same position, please share your thoughts and let us just achieve.
"Computer Based Statistical & Numerical Techniques" (CBSNT) Course.
The entire course is divided in two two categories:
1) Numerical Techniques
2) Statistical Techniques.
In this blog I'm going to define the road map and the path I'm going to follow for this exam, which is going to be on 11 April 2010, 9:30 AM - 12:30 PM.
Numerical Techniques can be explained very well from Mr. Autar video that he has explained every concepts very well with fair examples. He has also given notes on his blog.
You can find all his videos at http://www.youtube.com/user/numericalmethodsguy#g/p
and notes can be found at http://numericalmethods.eng.usf.edu/
Goal Map:
- Data Representation - ignored because since 90's DOE has never asked any question.
- System of Linear Algebraic Equations - 25 April 2010
- Interpolation - 26 April 2010
- Numerical Integration - 26 April 2010
Statistical Techniques:
As per the Amazon reviews, I've found the "Statistics" book written by Freedman, Pisani, Purves. It has explained the statistics without using any mathematical terms. While I'd only read the first chapter, I've found this book interesting because the humor is used, which has made it interesting to read this further. Even though this book has got 506 pages I'm expecting to finish this within a month, along with the course contents.
I'm also following couple of more books:
- Probability & Statistics for Engineers, by Irwin Miller.
- Head first statistics.
- S.C. Gupta Fundamental of Statistics.
Goal Map:
Probability Theory - 27th - 30th April
... TODO...
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