Glory in the Meetin’ House

Lyle W. Konigsberg Department of Anthropology

University of Tennessee, Knoxville

And did I mention that even though I only have an hour allotted I’ll take an hour and 15. No problem, right?

Evidently, fear is a factor

•Try to go to the meeting in question at least once as a non-presenter.

• Start “small” or “smaller” – regional instead of national meetings.

• Consider doing a poster (I’ll have nothing more to say about these, as I’m terrible at making them).

• Do not procrastinate.

(like your advisor does)

“The Early Years”(1983) Buikstra and Konigsberg "Paleodemography: a critical review." AAA, Chicago, IL.

(1984) Konigsberg "Demography and mortuary ritual at Seip Mound One." MAC, Evanston, IL.

(1984) Konigsberg and Frankenberg "Estimation of subadult age-at-death from minimum femoral circumference." AAPA, Philadelphia, PA

(1985) Buikstra, Konigsberg, and Bullington "Diet, sedentism, and demographic change: identification of key variables." AAPA, Knoxville, TN.

(1986) Konigsberg "Skeletal lineages and biological distance." AAPA, Albuquerque, NM.

(1987) Konigsberg "A formal basis for the analysis of osteological indicators of residential practice." AAPA, New York, NY.

Step One – The abstract (if required)

• If they are published, read a representative sample

• Write in a good text editor, so you can spel chck, and get the word count. You can always mark, copy and paste later

• If multiple authored use “track changes” but be darn sure to “accept all changes” before submission.

• Follow directions to a “T,” lest you incur the wrath of the program chair. Meet the deadline.

Step Two – Do the Research

• Did I mention not to procrastinate?

• So now would be an excellent time to make sure your data (if data there be) are ready and waiting and that you know how to do the analyses (if analyses there be).

• Also no time like the present to get comfortable with any software you’ll need to use (including Powerpoint?)

• And always save a back-up of your work, like I didn’t for this brown bag.

Step Three – Production• “Make” the slides first, then write “speaker’s notes” in a conversational, yet comfortable voice. NOTE: not the time or place for a detailed lit review.

• Export the speaker’s notes, delete the slides from a copy, mark the transitions [SLIDE 3], print in a reasonably sized font.

• Print a few copies, paper clip them, and practice, practice, practice. And while you’re at it, have people proof your slides for typos.

Maximum Likelihood and Bayesian Estimation of Age-at-Death (NSF SBR-9727386)

SampleSample

Size

Korean War Dead 344

Terry Males 421

Gilbert and McKern (1973) 156

Terry Females 328

Today we will only be looking at the pubic symphyseal data, which is briefly summarized in this slide. The data consist of observations on 344 casts of male pubic symphyses from McKern and Stewart’s Korean War Dead sample, 421 males from the Terry collection, 156 pubes from Gilbert and McKern’s study, and 328 females from the Terry collection.

What we will describe is but a small part of a larger project under the direction of the first author and supported by the National Science Foundation. The project has focused on collecting and analyzing cranial suture closure, auricular surface, and pubic symphyseal data on a large sample of known age skeletons. We collected the data using materials and records maintained at the Smithsonian Institution, for which we are grateful to Dr. Dave Hunt and the National Anthropological Archives for their help.

Step Four – “Dry Runs”

Bend an ear or two or three.

Be sure to try a trial run on a laptop other than the one on which you made the presentation…

…so that you don’t have any unexpected surprises, like bullets that aren’t.

• Following the NASA model, simulation is key.

Step Five – At the Meetin’ House

• If you can possibly afford it, stay in the conference hotel (split with 6 other students?).

• Get plenty of sleep, especially before the big event (unless you subscribe to the patented Konigsberg fear management plan).

• “Case” the room during a break, go hear a paper or two in the room.

Step Six – “Dying Time’s Here”• Show up early to load your presentation onto the laptop.

• Get a cup of water and sit down by the aisle.

• Empty your pockets, check for any potential “wardrobe malfunctions”

• But seriously, I forgot about dress code, and now it’s too late! (stay away from low cut numbers).

• Go to the podium, thank the moderator, sound test if necessary.

• OFF WE GO! – Do NOT start too fast.

• Listen to the questions, answer them if you can

General Behavior in the Meetin’ House

• Be social, try to meet new people.

• But don’t assume that your advisor will necessarily be much help (the “raised by wolves syndrome”) – so tell your advisor who you want to meet.

• “The ferns have ears”

• Watch the booze intake. Aside from being bad for your liver…

A Slide Gallery

Some sick and wrong, but also some keepers

“Thanks for the review. Future UT presenters are doomed if this presentation is an example of fine showmanship. I will do some formatting, add a bit of color, a few pictures.”

– Brad Adams, Tue, 15 Feb 2005 13:04:27

Yeah, right! – But ain’t it purty?

2 22

!, , ,

!( )!( )!( )!

1 1L R P N L R PP

Np L R P N r

P L P R P N L R P

r r r r

ln , , , ln 1 ln 1

2 ln 1

p N L R P r N N L R P

N L R P r

2!, , , 1

( )!

N L R PNp N L R P r r

N L R P

Adaptive Rejection Sampling for Recovery Probability

-100

-90

-80

-70

-60

-50

-40

0.5 0.6 0.7 0.8 0.9 1

Parameter

Log

-Lik

elih

ood

Adaptive Rejection Sampling for Recovery Probability

-100

-90

-80

-70

-60

-50

-40

0.5 0.6 0.7 0.8 0.9 1

Parameter

Log

-Lik

elih

ood

Adaptive Rejection Sampling for Recovery Probability

-100

-90

-80

-70

-60

-50

-40

0.5 0.6 0.7 0.8 0.9 1

Parameter

Log

-Lik

elih

ood

Adaptive Rejection Sampling for Recovery Probability

-100

-90

-80

-70

-60

-50

-40

0.5 0.6 0.7 0.8 0.9 1

Parameter

Log

-Lik

elih

ood

Adaptive Rejection Sampling for Recovery Probability

-100

-90

-80

-70

-60

-50

-40

0.5 0.6 0.7 0.8 0.9 1

Parameter

Log

-Lik

elih

ood

If you can say it with a pitcher, do so

N̂

Simulation based on a true N value of 50

MLNI quickly becomes and unbiased estimator

LI overestimates with very low recovery rates

MNI is dependent on recovery rate

MNI

I hope he fixed this

45 50 55 60 65 70

0.0

00

.05

0.1

00

.15

0.2

00

.25

0.3

0

N

Pro

ba

bili

ty

AllFemurOs CoxaHumerusTibia

Can’t beat those nice clean graphs out of “R!”

Comparison of age distribution within stage for Korean War Dead and Terry Collection

(Component I, stages 4 & 5)

20 40 60 80 100

0.0

0.0

50

.10

0.1

50

.20

Age

Pro

ba

bili

ty

20 40 60 80 100

0.0

0.0

50

.10

0.1

50

.20

Age

Pro

ba

bili

ty

Bivariate Probit Analysis (r = 0.6913)