Kitani Mohabbat Hai - 2

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Kitani Mohabbat Hai - 2
Kitani Mohabbat Hai - 2

Mohabbat aur Math

aksh4IF IF-Rockerz
aksh4IF
aksh4IF

Joined: 14 December 2010
Posts: 5977

Posted: 27 January 2011 at 5:25pm | IP Logged
hey mohabbatians, here is the newest product of kmh-fever pvt. ltd. ROFL
before you start reading.. i would like to warn one and all.. this blog was written by a half-awake person who was droven to bits by all the studying in the dead of the night and was suffering from kmh-fever.. and that this has nothing to do with math Geek and everything to do with mohabbatHeart.. and if anybody is hoping to learn any math out of it.. Wacko i promise, this won't help..  

so.. this sem i am taking a course on regression analysis.. and my prof started off with reviewing topics in probability and statistics which were a prereq for the course.. and as usual we had an assignment to finish for the wkend.. now u ask me why is that a topic on my blog.. so it so happens that i have two main obsessions going on in my mind rite now.. one is probability distributions.. (because i have a whole chart of them staring at me from the wall in front of me)Sleepy and there is my daily soap - kitani mohabbat hai..Big smile so when these two clashed in my mind.. i needed a vent and so here i am..Ouch

i have read ppl trying to explain love inside the laws of physics Shocked(bechare Newton, kya soch ke likha tha.. aur kya ho gaya).. so herez my mathematical mohabbat ke types:Confused

to start out.. the simplest type is defined by a bernoulli distribution.. Smile coz either its a yes or its a no.. and we are done.. Clapno grey shades.. no ifs and no maybes.. very straight 'N' forward..ROFL

then comes binomial.. this one is for the annoying, chattar-pattar couples.. Wacko who have the incessant need to choose in every topic and issue.. D'ohso they have a yes or no for everything Shockedand so binomial - since its the distribution thats a series of bernoulli distributions.ROFL

then there is always the geometric distribution. i would nickname this one as ekta's fav trak Sleepy- Balaji Television's favorite.. because its discrete (is always discontinuousD'oh) and by nature is also memory-less..ROFL

and how can i forget Poisson... its my fav in distributions coz, the mean and variance are always lambda (greek alphabet) Thumbs Up aur toh aur Poisson relationships bhi kuch aise hi hote hain.. lifelong pyar ke mean aur variance mein koi change nahi...Clap vadda changa haiga..!!WinkLOL

negative binomial... it is something about the nth success on the kth trial.. Ouchnow that sounds so much like an ekta story no?LOL something like heroine ki dusri shaadi hui 4th trail me..isse zyada negative story koi ho sakti hai bhala??ShockedROFL

yeh toh ho gaye saare discrete distributions..Geek unki khaas baat yeh hai ki in mein full-on nok-jhok chalu rehta hai..Wink so they can be entertaining..Star almost saare ke saare TV soaps mein use ho chuke hain.. aur title hona chahiye tha.."kyunki pyar discrete hain.." ROFLab is sentence ke kitne matlab nikalte hain.. Winkmaine jaanna bhi nahi..Tongue

coming to the continuous ones.. yahan pe options kam hain.. kyunki bahut kam stories continuous hote hain..ROFL

i like exponential most, especially compared to geometric, Big smile coz thats the fairy tale version of geometric - its continuous and no matter what atleast the relationship grows exponentially.. HeartHeartHeart and since that one is also memory-less it is useful in a positive way.. and helps the lovers forgive, forget ROFL and move on thereby helping their relation grow..HeartHeartHeart 
All of KJo's movies and most of SRK's end up in this category..ROFLROFL  they ofcourse don't always start here Wink

normal distributions. not much to say there.. i think would be the old-world arranged marriage concept.. u can always normalize any arranged relationship and it has a regular bell-curve...Silly these start at nothing.. have a peak.. and then come back to nothing.. ROFL

now i haven't mentioned hypergeometric, lognormal, pareto, weibull and beta.. because these are the completely unromantic and messy type relationships.. why? Silly coz they are the ones that dont have 'moment' generating functions.. ROFLROFLROFL .so no future for 'em..Winkand no uniform functions, coz there ain't a love story in this world thats uniform!!LOLSilly

lastly some food for thought.. what's common between statistical distributions and marriages?? both carry responsibility with them.. distributions have the responsibility of being the basis for analysis and decision making.. and lives depend on the strength of a marriage... Nuke



Edited by aksh4IF - 03 March 2011 at 4:32pm

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halfway2gomadhurameshanxxSassyxxMina_T-anzaeram-Du_Nishchanni_startanu111aroshaniDRazz22love_kuki_darklove_glitter567kavyasambrainychild92payal_4sujal_kashish

Du_Nish Goldie
Du_Nish
Du_Nish

Joined: 14 November 2010
Posts: 2346

Posted: 27 January 2011 at 6:07pm | IP Logged
Originally posted by aksh4IF

hey mohabbatians, here is the newest product of kmh-fever pvt. ltd. ROFL
 (thanks for posting it Aksh, I enjoyed reading itWink)
before you start reading.. i would like to warn one and all.. this blog was written by a half-awake person who was droven to bits by all the studying in the dead of the night and was suffering from kmh-fever.. LOLLOLLOL Mohabbat aur Maths ke jalwaLOLLOL
 
and that this has nothing to do with math Geek and everything to do with mohabbatHeart.. and if anybody is hoping to learn any math out of it.. Wacko i promise, this won't help..  
 
LOLLOLLOL Aksh, we will send this formula to Ekta Mai bhiLOLLOLLOL and yeah if not help,no worries, at least we tried itLOLLOLLOLLOLLOL

so.. this sem i am taking a course on regression analysis.. and my prof started off with reviewing topics in probability and statistics  (can understand the power of craziness with the mention of this topic,had been in it as wellLOLLOLLOL Mohabbat ka probability density aur distribution will be something to look inLOL aur yeah statistics in the way have the hypothesis testing on whether we should accept or reject null hpothesisLOLLOL)which were a prereq for the course.. and as usual we had an assignment to finish for the wkend.. now u ask me why is that a topic on my blog.. so it so happens that i have two main obsessions going on in my mind rite now.. one is probability distributions.. (because i have a whole chart of them staring at me from the wall in front of me)Sleepy and there is my daily soap - kitni mohabbat hai..Big smile so when these two clashed in my mind(LOL seems it is has been more dangerous than a YuGi'Oh match). . i needed a vent and so here i am..Ouch(I am here for you aksh,anytime,just call my name loudly LOLLOL but without waking up auntyji aur unclejiLOLLOL)

i have read ppl trying to explain love inside the laws of physics Shocked(bechare Newton, kya soch ke likha tha.. aur kya ho gayaROFL).. so herez my mathematical mohabbat ke types:Confused (Newton Junior in mathematical wayROFL)
to start out.. the simplest type is defined by a bernoulli distribution.. Smile coz either its a yes or its a no.. and we are done.. Clapno grey shades.. no ifs and no maybes.. very straight 'N' forward..ROFL (Bilkul applicable to our Arohi aur Arjun: Either Y for Love or N means hatredLOL they seem blind on the rainbow of emotionsLOL)

then comes binomial.. this one is for the annoying, chattar-pattar couples.. Wacko who have the incessant need to choose in every topic and issue.. D'ohso they have a yes or no for everything Shockedand so binomial - since its the distribution thats a series of bernoulli distributions.ROFL
(Oie binomial - full too forecast on th future with probability associated to the branch, so like Biji dadi who has already seen the future of Arjuhi and now is working on how to make the engine starts without brakesLOLLOL)
 

then there is always the geometric distribution. i would nickname this one as ekta's fav trak Sleepy- Balaji Television's favorite.. because its discrete (is always discontinuous) and by nature is also memory-less..ROFL
ROFLROFLROFL ''Luckily KMH has not gone totally to it'' ROFLROFLROFLROFL ''or rather Arjuhi track as GAuveer track it applies on 100 percentROFLROFLROFL

and how can i forget Poisson... its my fav in distributions coz, the mean and variance are always lambda (greek alphabet) Thumbs Up aur toh aur Poisson relationships bhi kuch aise hi hote hain.. lifelong pyar ke mean aur variance mein koi change nahi...Clapbohot changa haiga..!!WinkLOL
(oie oie hanji maximise the returns will deeper curve and minimise the risk, yeh to market efficiency theory bangayeLOLLOL)

negative binomial... it is something about the nth success on the kth trial.. Ouchnow that sounds so much like an ekta story no?LOLisse zyada negative story koi ho sakti hai bhala??ShockedROFL
 
ROFLROFLROFLROFL Absolutely, yehi hein Ekta Maiya ki Adalat ROFLROFLROFLROFLROFL

yeh toh ho gaye saare discrete distributions..Geek unki khaas baat yeh hai ki in mein full-on nok-jhok chalu rehta hai..Wink so they can be entertaining..Star almost saare ke saare TV soaps mein use ho chuke hain.. aur title hona chahiye tha.."kyunki pyar discrete hain.." ROFLab is sentence ke kitne matlab nikalte hain.. Winkmaine jaanna bhi nahi..Tongue
StarStarStarStarStarStarStar Hayii sab kuch tumne iss sentence mein batayiStarStarStarStarStar
 

coming to the continuous ones.. yahan pe options kam hain.. kyunki bahut kam stories continuous hote hain..ROFL
 
ROFLROFL This bimari has seemed affected the KMH2,hope it will cureROFLROFL
i like exponential most, especially compared to geometric, Big smile coz thats the fairy tale version - its continuous and no matter what atleast the relationship grows exponentially.. HeartHeartHeart and since that one is also memory-less it is useful in a positive way.. and helps the lovers forgive, forget ROFL and move on thereby helping their relation grow..HeartHeartHeart 
All of KJo's movies and most of SRK's end up in this category..ROFLROFL  they ofcourse don't always start here Wink
 
Thumbs UpThumbs UpThumbs UpThumbs Up like itThumbs UpThumbs UpThumbs UpThumbs Up

normal distributions. not much to say there.. i think would be the old-world arranged marriage concept.. u can always normalize any arranged relationship and it has a regular bell-curve...Silly

now i haven't mentioned hypergeometric, lognormal, pareto, weibull and beta.. because these are the completely unromantic and messy type relationships.. why? Silly coz they are the ones that dont have 'moment' generating functions.. ROFLROFLROFL .so no future for 'em..Winkand no uniform functions, coz there ain't a love story in this world thats uniform!!LOLSilly
 
'' great ones, like reading emWink''

lastly some food for thought.. what's common between statistical distributions and marriages?? both carry responsibility with them.. distributions have the responsibility of being the basis for analysis and decision making.. and lives depend on the strength of a marriage... Nuke
 
ROFLROFLROFLROFL '
 
nice  post AkshStar

The following 3 member(s) liked the above post:

kavyasamaksh4IFbrainychild92

glitter567 IF-Rockerz
glitter567
glitter567

Joined: 27 June 2010
Posts: 5376

Posted: 27 January 2011 at 6:23pm | IP Logged

oh gosh my stomach hurts!!!! can't stop ROFLROFLROFLROFLROFL

mindblowing post Clap

The following 2 member(s) liked the above post:

halfway2goaksh4IF

brainychild92 IF-Sizzlerz
brainychild92
brainychild92

Joined: 21 June 2006
Posts: 11502

Posted: 27 January 2011 at 6:31pm | IP Logged
finally got back.. i was laughing too hard to comment before..

great post.. made my night!lol

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aksh4IF

aksh4IF IF-Rockerz
aksh4IF
aksh4IF

Joined: 14 December 2010
Posts: 5977

Posted: 27 January 2011 at 6:44pm | IP Logged
thnx guys..

@nisha ur comments make them way more hilarious!!


Edited by aksh4IF - 27 January 2011 at 6:49pm
sheetal6 Goldie
sheetal6
sheetal6

Joined: 10 February 2009
Posts: 1571

Posted: 27 January 2011 at 9:53pm | IP Logged
Awesome post!!!
aksh4IF IF-Rockerz
aksh4IF
aksh4IF

Joined: 14 December 2010
Posts: 5977

Posted: 27 January 2011 at 10:04pm | IP Logged
thnx sheetal Smile
sheetal6 Goldie
sheetal6
sheetal6

Joined: 10 February 2009
Posts: 1571

Posted: 27 January 2011 at 10:05pm | IP Logged
@aksh4IF: Ur welcome dear...

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