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Category Archives: math
Most Sincere
Is anybody else driving around town looking for the Most Sincere convenience store hoping the Great Pumpkin (or an affiliated diety) will bestow upon them the winning ticket to the $1.2 Billion jackpot? Just me? Hot dog, I hope I’m … Continue reading
Posted in Continuouse Improvement, Goal setting, karma, math, Saving Money, Statistics, Writing
Tagged $1.2 billion, affiliate dieties, expected value, i feel lucky, jackpot, Jim Carey, lottery, Mary Chapin Carpenter, most sincere convenience store, The Great Pumpkin, there’s a chance
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Older Than Bones
I ran across a FB post about how the Rocky Mountains are taller than the Appalachians. The poster insinuates that taller is better. Someone responds to this post by telling the wannabe Texan that bigger ain’t always better saying that … Continue reading
Posted in Authors, Children, Education, karma, math, Writing
Tagged 12 lb. bass, 500 million years ago, advanced degrees, Appalachian Mountains, bio-medical engineering, biology, C. E. Anthony, Charlene, Clyde E. Anthony, Clyde Elias Anthony, Designing Women, dinosaurs, elevation, fauna, flora, fossils, half a billion years ago, Hermione, knee cartilage, Leah Swanstrom, pre-dates bones, pre-dates dinosaurs, Rocky Mountains, Sabine Parish, spear fishing, telomeres, the Kraken, The National Enquirer, time turner, topper
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Jump Start Your Day
I didn’t really have any new resolutions or goals this year. Mostly I’d just like to get back to being who I was before the pandemic hit–that girl that got up at 5:30 every morning to exercise, worked all day, … Continue reading
Words of Wisdom
Out of the mouths of babes, they say. Last night I was working on my second epiphany of the evening and it unfortunately involved solving 2 equations with multiple unknowns and used summation notation. Lucky for me Babe#1 is majoring … Continue reading
Asymptotically Normal
When I first came to LSU (last millennium) we used 3 separate machines to print, fax and copy, had dial up 4200 baud modems, and only the POTUS and other mobsters had satellite phones. Technology has changed so much and … Continue reading
Posted in accounting, Education, Louisiana, LSU, math
Tagged 3-d printer, 4200 baud modems, asymptotically normal, doom, econometrics, final exams, frissons, Lotus notes, LSU, magic, mobsters, nano-medicine, Noah, Noah's arc, POTUS, saber toothed tiger, satellite phone, Technology
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Asymptotically Valid Co-Variance Estimator
Did you get yours yet? I heard all the hip variance-co-variance matrices are into bondage validity this year. Econometric validity requires two conditions: no bias and consistency. This may be the first time the egg-heads got it right. Back to the … Continue reading
Posted in LSU, math, Statistics
Tagged 2 stage least squares regression, allforLSU, asymptotically valid co-variance estimator, book learning, consistency, econometrics, egg-heads, endogeneity, foghorn leghorn, Heckman model, henry hawk, homoskedasticity, instrumental variables, non linear process, poisson distribution, propensity score matching, self-selection, thank god I found it, warner brothers cartoons, white's heteroskedasticity
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There Ain’t No Such Thing as a Power Nap
We’re all familiar (or should be) with TANSTAAFL, aka There Ain’t No Such Thing As A Free Lunch. I’ve coined a complementary term: TANSTAAPN. Nothing’s free. Not lunch, not gas station car washes, and most certainly not naps in the … Continue reading
Posted in Education, Louisiana, LSU, math, Politics
Tagged accounting, Christmas, comprehensive exams, dominick the donkey, favorite daughter, libertarian, LSU, Natchitoches, No such thing as a free lunch, no such thing as a power nap, Phd Program, power naps, sleep, TANSTAAFL, TANSTAAPN
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Exponential Decay
Went to lunch with this youngster today. He was unaware that you could start suffering from sleep injuries* as early as the mid-thirties. A sleep injury occurs when you go to bed at the regular time, sleep the same number … Continue reading
Posted in Education, LSU, math
Tagged aging, exponential decay model, leg day, over 35
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Log Likelihood
A problem from yesterday: Suppose you observe n iid normal variables from the normal density, X ∼ N(µ, σ 2 ), where σ 2 is known. (A) Find the maximum likelihood estimator of the mean µ. L is for likelihood, where L(θ; … Continue reading
Posted in Continuouse Improvement, Goal setting, Louisiana, LSU, math
Tagged log likelihood, math blog, max likelihood, nerddom, normal density, normal distribution
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