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Data Analysis: What Can Be Learned From the Past 50 Years
book

Data Analysis: What Can Be Learned From the Past 50 Years

by Peter J. Huber
April 2011
Beginner
234 pages
5h 59m
English
Wiley
Content preview from Data Analysis: What Can Be Learned From the Past 50 Years

INDEX

Action trail

Ad hoc programming

Admission rates: sex bias

Akaike, H.

ALGOL

ALGOL

ALGOL

Almond, R.

Anaxagoras

APL

Application, canned

Array orientation

Artifact

Artificial Intelligence

ASCII data

Assembly language

Avriel, M.

Babylonian astronomy

Backfitting

Backus, J.W.

Badness-of-fit

Barnard, G.A.

BASIC

Basque

Batch

computing

interface

language

Bayesian

modeling

statistics

Benzécri, J.P.

Besag, J.

Bickel, P.J.

Black box

Black, P.

Boneva, L.I.

Book-keeping

Bootstrap

Box plot

Box, G.E.P.

Box-Jenkins analysis

Brahe, T.

Brainerd, B.

Branching

Brandwood, L.

Breiman, L.

Brown, E.N.

Brownian motion-

Building block

Butler, J.N.

C

C++

Canned application

Carr, D.B.

CART

Children’s growth data

Churchill, W.S.

Clausewitz, C. von

Cluster analysis

Coale, A.

COBOL

Command language-

Command line interface

Command procedure

Communication

human-to-machine

Comparison

between model and data

of point configurations

quantitative

visual

Composite model

Computational complexity

Computing language

Concorde

Confidence interval

Confidence level

Conjugate gradients

Contingency table

Copernicus, N.

Correspondence analysis

Cosmetics vs. income

Cowan, C.

Cox, D.R.

Cross-validation

Customized system

Cyclodecane conformation

Dante, Divina Commedia

Data

ASCII

experimental

inhomogeneous

observational

opportunistic

Data access

Data analysis

activities of

customized system

language

stages of

vs. Data processing

Data archiving

Data base management

vs. statistics

Data based prototyping

Data checking

Data ...

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Publisher Resources

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