Geometrical and Statistical Methods of Analysis of Star Configurations Dating Ptolemy's Almagest
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A. T. Fomenko
A01=A.T. Fomenko
astrometry methods
Author_A.T. Fomenko
Bartlett's Test
Bartlett’s Test
body
Canonical Correlation Analysis
Category=PB
Chronic
clinical
Clinical Chemistry Parameters
covariance
data
deviation
Dominant Lethal Study
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
exploratory
Fisher's Exact Test
Fisher’s Exact Test
G. V. Nosovsky
historical astronomy
incidence
Inflated False Positive Rate
Kruskal Wallis Non-parametric ANOVA
Kruskal Wallis Nonparametric ANOVA
Life Table Analysis
Main Frame
Mann Whitney U Test
Median Effective Dose
medieval scientific instruments
observational astronomy history
Organ Weight
Post-hoc Test
Programmable Calculator
Quantitative Structure Activity Relationships
Random Assignments
RBC
Red Blood Cell Count
standard
star catalog analysis
statistical analysis of ancient star catalogs
statistical dating techniques
T-distribution Table
tumor
Tumor Incidence
Unbalanced Design
V. V. Kalashnikov
Vice Versa
weights
White Blood Cell
Product details
- ISBN 9781315893150
- Weight: 453g
- Dimensions: 152 x 229mm
- Publication Date: 29 Nov 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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This easy-to-follow book offers a statistico-geometrical approach for dating ancient star catalogs. The authors' scientific methods reveal statistical properties of ancient catalogs and overcome the difficulties of their dating originated by the low accuracy of these catalogs. Methods are tested on reliably dated medieval star catalogs and applied to the star catalog of the Almagest. Here, the dating of Ptolemy's famous star catalog is reconsidered and recalculated using modern mathematical techniques.The text provides necessary information from astronomy and astrometry. It also covers the history of observational equipment and methods for measuring coordinates of stars. Many chapters are devoted to the Almagest, from a preliminary analysis to a global statistical processing of the catalog and its basic parts. Mathematics are simplified in this book for easy reading. This book will prove invaluable for mathematicians, astronomers, astrophysicists, specialists in natural sciences, historians interested in mathematical and statistical methods, and second-year mathematics students.Features:
