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Seth’s blog » Blog Archive » Exploratory Versus Confirmatory Data Analysis? In 1977, John Tukey published a book called Exploratory Data Analysis.

Seth’s blog » Blog Archive » Exploratory Versus Confirmatory Data Analysis?

It introduced many new ways of analyzing data, all relatively simple. Most of the new ways involved plotting your data. A few involved transforming your data. The Archaeology of the Mediterranean World: Archaeology. Over the next two months, I've been asked to write an essay on settlement in 7th and 8th century Cyprus.

The Archaeology of the Mediterranean World: Archaeology

My work at Polis-Chrysochous and at the site of Pyla-Koutsopetria puts me in a good position to think broadly of this transitional period with two specific points of reference. The coastal site of Pyla-Koutsopetria appears to go into steep decline after the middle of the 7th century coinciding, it would seem, increased activity of the Arab fleet in middle decades of the 7th. During the 5th-7th century, there is every indication that the site was prosperous coastal emporium. The almost complete absence of material dating to the 8th or 9th centuries would seem to indicate that the site no long constituted a substantial locus of settlement on the south coast of the island.

Classifying an Archaeologist : Aardvarchaeology. Carl Lipo at Evolution Beach has been kind enough to recommend Aard to his readers.

Classifying an Archaeologist : Aardvarchaeology

He characterises me as “a big advocator for science based archaeology in the classic ‘New Archaeology’ sense”. It’s not the first time I’ve been called a New Archaeology guy, and I don’t consider it unflattering, but I do feel that it calls for a few comments. Archaeology emerged as a scientific discipline with the work of C.J. Thomsen in the early 1800s. It’s a worldwide crazy quilt of regional subdisciplines that needn’t communicate much.

A Sceptical Archaeology. Pseudo-archaeologists claim that revolutionary new theories abound within the garish covers of their books.

A Sceptical Archaeology

Meanwhile, mainstream archaeology trundles along as usual, with archaeologists continually re-assessing their data and refining their interpretations as a result (sometimes in fundamental and radical ways). Such self-critical evolution is non-existent within the realm of the self-styled revolutionaries of pseudo-archaeology. Archaeologists evolve while the cranks just revolve. Bad Archaeology: leave your common sense behind! American Antiquity, Vol. 43, No. 2 (Apr., 1978), pp. 231-244.

The Statistics Lesson: Archaeology and Statistics. "I just don't get statistics," Katie said plaintively.

The Statistics Lesson: Archaeology and Statistics

She and I and Luke were taking a graduate level seminar on statistics in archaeology, and the fact that Katie didn't get statistics was not news to me and Luke. We had already gone over and over Pearson's r and the student's t, correlation coefficient, nearest neighbor and random sampling, and still she wasn't catching on at all. You have to understand--statistics were very important to archaeology in those days. During the late 70s and early 1980s, archaeology went through a technical spasm where the only acceptable paper published nearly anywhere had to have Greek letters scattered throughout it. Open Archaeology. Computational archaeology. Computational archaeology describes computer-based analytical methods for the study of long-term human behaviour and behavioural evolution.

Computational archaeology

As with other sub-disciplines that have prefixed 'computational' to their name (e.g. computational biology, computational physics and computational sociology), the term is reserved for (generally mathematical) methods that could not realistically be performed without the aid of a computer. Computational archaeology is also known as archaeological informatics (Burenhult 2002, Huggett and Ross 2004) or archaeoinformatics (sometimes abbreviated as "AI", but not to be confused with artificial intelligence).

Origins and objectives[edit] Statistics for Archaeologists: A Common Sense Approach Interdisciplinary Contributions to Archaeology: Amazon.co.uk: Robert D. Drennan. Review Praise for the 2nd Edition: "Statistics is often perceived as something mysterious and hostile, and this holds particularly true for archaeologists...

Statistics for Archaeologists: A Common Sense Approach Interdisciplinary Contributions to Archaeology: Amazon.co.uk: Robert D. Drennan

The merit of Drennan's work is that he takes readers by the hand and gently guides them through that minefield, etting them discover that statistics can be a matter easily approached and understood from a commonsense perspective...Fourteen years after the first edition, a number of important new topics are added. They provide the reader with useful tools to explore archaeological data as the data becomes progressively multivariate...Each section uses the same case study and data set, thus enhancing the comparability of this technique...Drennan successfully conveys complex concepts in smple ways...both students and scholars will surely welcome this gentle introduction to statistics, wherein simplicity does not detract from scientific precision". (Gianmarco Alberti, American Journal of Archaeology, 114.4, 2010). Statistics for Archaeologists: A Common Sense Approach Interdisciplinary Contributions to Archaeology: Amazon.co.uk: Robert D. Drennan.

Review Praise for the first edition: “Robert Drennan has done the field a great service.”

Statistics for Archaeologists: A Common Sense Approach Interdisciplinary Contributions to Archaeology: Amazon.co.uk: Robert D. Drennan

(Larry R. David Hurst Thomas. David Hurst Thomas is the Curator in the Department of Anthropology at the American Museum of Natural History and an Adjunct Professor at Columbia University and the City University of New York.[1] Career[edit] Thomas was born and raised in California, and after initially wanting to major in pre-med, ended up receiving all of his degrees in anthropology (including a Ph.D. in 1971) from the University of California, Davis[2] instead.

David Hurst Thomas

He is one of the founding trustees for the National Museum of the American Indian at the Smithsonian Institution, was elected to the National Academy of Sciences in 1989, and received the Presidential Recognition Award from the Society for American Archaeology. Bayesian Statistics. John Tukey. John Wilder Tukey ForMemRS[1] (/ˈtuːki/;[2] June 16, 1915 – July 26, 2000) was an American mathematician best known for development of the FFT algorithm and box plot.[3] The Tukey range test, the Tukey lambda distribution, the Tukey test of additivity, and the Teichmüller–Tukey lemma all bear his name.

John Tukey

Biography[edit] Tukey was born in New Bedford, Massachusetts in 1915, and obtained a B.A. in 1936 and M.Sc. in 1937, in chemistry, from Brown University, before moving to Princeton University where he received a Ph.D. in mathematics.[4] During World War II, Tukey worked at the Fire Control Research Office and collaborated with Samuel Wilks and William Cochran. After the war, he returned to Princeton, dividing his time between the university and AT&T Bell Laboratories. How to look at data: A review of John W. Tukey's Exploratory Data Analysis. J Exp Anal Behav. May 1979; 31(3): 433–440. 1Reading, Mass.: Addison-Wesley, 1977. Pp. 688, $16.95. Exploratory Data Analysis. The late Prof.

John Tukey had a major impact on statistical data analysis. In his classic book entitled Exploratory Data Analysis, he introduced many techniques for discovering unique features contained in data. STATGRAPHICS Centurion contains several of his procedures, plus other methods designed to help extract information: 1. Exploratory data analysis. In statistics, exploratory data analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task. Exploratory data analysis was promoted by John Tukey to encourage statisticians to explore the data, and possibly formulate hypotheses that could lead to new data collection and experiments.

Hoaglin: John W. Tukey and Data Analysis. Seth’s blog » academic fraud. If you google “Ranjit Chandra” (a famous Canadian nutrition researcher), the second result is this page, created by me, which lists many articles about a scandal that Saul Sternberg and I did a lot to to uncover. We pointed out that several details of one of Chandra’s papers were impossible.

I did not create the page to harm Chandra, but it does: For the rest of his life, anyone curious about him will find out about the scandal.