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1/n) To celebrate 50 folowers. Here is sheety pseudo-intellectual thread on "Pricing daory: X factor exponential anti AHP approach, to estimate premerij transaction value". @in_dr_ @Jaiyogeshwar02 @VijayaAnanta @Vinyasa15 @MatKashbakihai @rva_sharma @phatjv @ThunderBearFire
2/n)This work is not a standard procedure to assign weights to factors 0f daory because
1) Standard Procedures svck
2) I hate interacting with people to get subjective weights and I hate using BS statistics
3) Analytical Hierarchy Process is pseudostatistics and is for looosers.
1) Standard Procedures svck
2) I hate interacting with people to get subjective weights and I hate using BS statistics
3) Analytical Hierarchy Process is pseudostatistics and is for looosers.
3/n) For all practical reasons in this work, daory is one time pre merij transaction which ultimately determines if the merij will take place or not.
NDA - > Net Daory Amount will be a factor of Ghuy’s Estimated Present Value (GVM) at the time of Merij & Gril’s Factors (F)
NDA - > Net Daory Amount will be a factor of Ghuy’s Estimated Present Value (GVM) at the time of Merij & Gril’s Factors (F)
4/n) Relevant factors in pricing the daory
Gril’s BMI (F1)
Gril’s Age (F2)
Gril’s Thotery Level (F3)
Gril’s Looks (F4)
Gril’s Health Condition (F5)
Gril’s Intelligence (F6)
Gril’s Family Situation (F7)
Gril’s Networth (F8)
Gril’s Career Leaning (F9)
Residual Factor (F10)
Gril’s BMI (F1)
Gril’s Age (F2)
Gril’s Thotery Level (F3)
Gril’s Looks (F4)
Gril’s Health Condition (F5)
Gril’s Intelligence (F6)
Gril’s Family Situation (F7)
Gril’s Networth (F8)
Gril’s Career Leaning (F9)
Residual Factor (F10)
5/n) Of-course none of the above factors are MECE, there will obviously be problems with Multicollinearity, Homoskedasticity, blah blah blah, but anyways we just need a model to price something that has been less transparent and has not been modelled so far.
6/n) Factors Analysis & Description:
We will be using first 9 factors as they have continuous time impact & hence compound continuously, this is because post merij peepul will be living with each other & thinking about each other continuously and merij is a continuous kamitment.
We will be using first 9 factors as they have continuous time impact & hence compound continuously, this is because post merij peepul will be living with each other & thinking about each other continuously and merij is a continuous kamitment.
7/n) Gril’s BMI (F1):
This factor has direct relationship with daory, higher gril’s BMI higher daory needs to be paid. However, in an effort to standardise the BMI, the healthy BMI point for Gril’s are assumed to be 20. This factor may be correlated with other factors.
This factor has direct relationship with daory, higher gril’s BMI higher daory needs to be paid. However, in an effort to standardise the BMI, the healthy BMI point for Gril’s are assumed to be 20. This factor may be correlated with other factors.
8/n) Gril’s Age (F2)
This factor has indirect relationship with the daory and should be used as a relative measure with respect to guy’s age. X1 -> Ghuy’s Age. The rationale behind this factor is younger the gril relative to guy’s age the lesser the daory needs to be paid.
This factor has indirect relationship with the daory and should be used as a relative measure with respect to guy’s age. X1 -> Ghuy’s Age. The rationale behind this factor is younger the gril relative to guy’s age the lesser the daory needs to be paid.
9/n) Gril’s Thotery Level (F3)
This factor has direct relationship with the daory, higher the thotery level higher the daory needs to be paid. This factor can be estimated from several sub factors like past flings, Social media sub factor, Fraands sub factor etc. This subjective
This factor has direct relationship with the daory, higher the thotery level higher the daory needs to be paid. This factor can be estimated from several sub factors like past flings, Social media sub factor, Fraands sub factor etc. This subjective
10/n) factor can be segmented into 3 levels Red, Orange Green.
Green : Number of Flings = 0 |F3 =0
Orange: Number of Flings = 1 to 3 | F3 = 2
Red: Number of Flings is more than 3 | F3 = 10
A gut gril should not have to incur this component of daory Hence, the linear multiplier.
Green : Number of Flings = 0 |F3 =0
Orange: Number of Flings = 1 to 3 | F3 = 2
Red: Number of Flings is more than 3 | F3 = 10
A gut gril should not have to incur this component of daory Hence, the linear multiplier.
11/n) Gril’s Looks (F4)
This factor has inverse relationship with the daory and should be used as a relative measure with respect to guy’s looks. X2 -> Ghuy’s Looks. The rationale behind this factor is better looking the gril relative to guy lesser the daory needs to be paid.
This factor has inverse relationship with the daory and should be used as a relative measure with respect to guy’s looks. X2 -> Ghuy’s Looks. The rationale behind this factor is better looking the gril relative to guy lesser the daory needs to be paid.
12/n) Gril’s Health Condition (F5)
This factor has indirect relationship with the daory and should be used as a subjective measure. The 3 categories of this factor will be Healthy, Moderate, Unhealthy.
Healthy -> No History of health prablems in the gril & her family. (ctd)
This factor has indirect relationship with the daory and should be used as a subjective measure. The 3 categories of this factor will be Healthy, Moderate, Unhealthy.
Healthy -> No History of health prablems in the gril & her family. (ctd)
13/n) Moderate -> No History of health prablems in gril but previous gen had Chronic Disease
Unhealthy -> History of health prablems in the gril like Chronic conditions , Cuncar and prev. gen had Chronic health praablems
Healthy : F5 =0
Moderate: F5 = 2
Unhealthy: F5 = 10
Unhealthy -> History of health prablems in the gril like Chronic conditions , Cuncar and prev. gen had Chronic health praablems
Healthy : F5 =0
Moderate: F5 = 2
Unhealthy: F5 = 10
14/n) A healthy gril should not have to incur this component of daory Hence a linear multiplicative of the factor is used before exponential.
15/n) Gril’s Intelligence (F6) :
This is a dicey factor , the way this shall be used is that intelligence within a band being good and intelligence at the tails being bad. It’s impossible to estimate intelligence through simple subjective measures.
This is a dicey factor , the way this shall be used is that intelligence within a band being good and intelligence at the tails being bad. It’s impossible to estimate intelligence through simple subjective measures.
16/n) Several Sub Factors need to be built to estimate this factor, some components of this factor could be scores in standardised tests (JEE, CAT, SAT, GRE, GMAT etc), Pedigree of Kaleej, Achievements in Kaleej/Work, IQ test scores, Board exam marks normalised with board stream.
17/n) The 3 levels of this factor are
High - F6 = 3
Moderate - F6 = 0
Low - F6 = 4
Grils with moderate intelligence should not incur this component of daory Hence a linear multiplicative of the factor is used.
High - F6 = 3
Moderate - F6 = 0
Low - F6 = 4
Grils with moderate intelligence should not incur this component of daory Hence a linear multiplicative of the factor is used.
18/n) Gril’s Family Situation (F7)
This will again be a subjective factor the categories being good, medium, bad.
Good – Well Settled Family, less /no dependency on the gril – F7 = 0
Medium – Unstable Family , less/ no dependency on the gril – F7 = 2
This will again be a subjective factor the categories being good, medium, bad.
Good – Well Settled Family, less /no dependency on the gril – F7 = 0
Medium – Unstable Family , less/ no dependency on the gril – F7 = 2
19/n) Bad- Unstable Family, high dependency on the gril - F7 = 4
Grils with stable family situation should not have to incur this component of daory Hence a linear multiplicative of the factor is used before exponential.
Grils with stable family situation should not have to incur this component of daory Hence a linear multiplicative of the factor is used before exponential.
20/n) Gril’s Networth (F8)
This factor is pertaining to the networth of the gril & not the family’s networth. This could be established as relative component with respect to the gvy’s GVM .
This factor is pertaining to the networth of the gril & not the family’s networth. This could be established as relative component with respect to the gvy’s GVM .
21/n) High Net Worth grils shall not be penalised for their ancestor& #39;s earnings and low GVM guys shall not be merijing a gril merely for mooney hence an exponential component including guy’s GVM & gril’s networth is factored in calculating this factor.
22/n) Gril’s Career Leaning (F9)
It has been established that gril’s with strong career leaning are kulnashnis and gril’s with strong career leaning can pay higher daory . Hence this must have a direct relationship with daory. Stronger Career Leaning higher Daory.
It has been established that gril’s with strong career leaning are kulnashnis and gril’s with strong career leaning can pay higher daory . Hence this must have a direct relationship with daory. Stronger Career Leaning higher Daory.
23/n) Proxy for Career leaning can be current wages. The wages of waifu shall not exceed husband’s.
F9 - Waifu wages | X3 - Haasband wages.
Grils with high career leaning shall incur higher daory, that principle is achieved.
F9 - Waifu wages | X3 - Haasband wages.
Grils with high career leaning shall incur higher daory, that principle is achieved.
24/n) Residual Factor (F10)
This factor can contribute either positively or negatively to the NDA and can be used to accommodate variations in other factors The importance of this factor to the NDA is that the significance of this factor in determining NDA should be low.
This factor can contribute either positively or negatively to the NDA and can be used to accommodate variations in other factors The importance of this factor to the NDA is that the significance of this factor in determining NDA should be low.
25/n) Further Areas of Research
Additional areas of research can be in determination of GVM, collection of proper data pertaining to daory and other factors, identifying multicollinearities, homoskedasticities between several factors.
This is just joxx not to be taken seriously
Additional areas of research can be in determination of GVM, collection of proper data pertaining to daory and other factors, identifying multicollinearities, homoskedasticities between several factors.
This is just joxx not to be taken seriously
