MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03327cam a22003494a 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
16746584 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20190822132257.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
110422s2011 nyua b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2011013003 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780199543199 (pbk.) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Transcribing agency |
DLC |
| Description conventions |
rda |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q180.55.S7 |
| Item number |
D54 2011 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
519.5 |
| Edition number |
22 |
| Item number |
D.P.S |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Diggle, Peter |
| 9 (RLIN) |
33492 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Statistics and scientific method : |
| Remainder of title |
an introduction for students and researchers / |
| Statement of responsibility, etc |
Peter J. Diggle and Amanda G. Chetwynd. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New York : |
| Name of publisher, distributor, etc |
Oxford University Press, |
| Date of publication, distribution, etc |
2011. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiii, 172 p., [2] p. of plates : : |
| Other physical details |
ill., (some col.) ; |
| Dimensions |
25 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Machine generated contents note: -- 1. Introduction -- 2. Overview -- 3. Uncertainty -- 4. Exploratory data analysis -- 5. Experimental design -- 6. Simple comparative experiments -- 7. Statistical modelling -- 8. Survival analysis -- 9. Time series analysis -- 10. Spatial statistics. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"Most introductory statistics text-books are written either in a highly mathematical style for an intended readership of mathematics undergraduate students, or in a recipe-book style for an intended audience of non-mathematically inclined undergraduate or postgraduate students, typically in a single discipline; hence, "statistics for biologists", "statistics for psychologists", and so on. An antidote to technique-oriented service courses, Statistics and Scientific Method is different. It studiously avoids the recipe-book style and keeps algebraic details of specific statistical methods to the minimum extent necessary to understand the underlying concepts. Instead, the text aims to give the reader a clear understanding of how core statistical ideas of experimental design, modelling and data analysis are integral to the scientific method. Aimed primarily at beginning postgraduate students across a range of scientific disciplines (albeit with a bias towards the biological, environmental and health sciences), it therefore assumes some maturity of understanding of scientific method, but does not require any prior knowledge of statistics, or any mathematical knowledge beyond basic algebra and a willingness to come to terms with mathematical notation. Any statistical analysis of a realistically sized data-set requires the use of specially written computer software. An Appendix introduces the reader to our open-source software of choice, R, whilst the book's web-page includes downloadable data and R code that enables the reader to reproduce all of the analyses in the book and, with easy modifications, to adapt the code to analyse their own data if they wish. However, the book is not intended to be a textbook on statistical computing, and all of the material in the book can be understood without using either R or any other computer software"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Science |
| General subdivision |
Methodology. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Research |
| General subdivision |
Statistical methods. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Experimental design. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
MATHEMATICS / Probability & Statistics / Bayesian Analysis. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
MEDICAL / Biostatistics. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Chetwynd, Amanda. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Books |
| Source of classification or shelving scheme |
Dewey Decimal Classification |