Introduction to computer-intensive methods of data analysis in biology:
This 2006 guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological sciences. Modern computational tools, such as Maximum Likelihood, Monte Carlo and Bayesian methods, mean that data analysis no longer depends on elaborate assum...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2006
|
| Subjects: | |
| Online Access: | BSB01 FHN01 Volltext |
| Summary: | This 2006 guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological sciences. Modern computational tools, such as Maximum Likelihood, Monte Carlo and Bayesian methods, mean that data analysis no longer depends on elaborate assumptions designed to make analytical approaches tractable. These new 'computer-intensive' methods are currently not consistently available in statistical software packages and often require more detailed instructions. The purpose of this book therefore is to introduce some of the most common of these methods by providing a relatively simple description of the techniques. Examples of their application are provided throughout, using real data taken from a wide range of biological research. A series of software instructions for the statistical software package S-PLUS are provided along with problems and solutions for each chapter |
| Item Description: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Physical Description: | 1 online resource (vii, 368 pages) |
| ISBN: | 9780511616785 |
| DOI: | 10.1017/CBO9780511616785 |
Staff View
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV043942965 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 161206s2006 |||| o||u| ||||||eng d | ||
| 020 | |a 9780511616785 |c Online |9 978-0-511-61678-5 | ||
| 024 | 7 | |a 10.1017/CBO9780511616785 |2 doi | |
| 035 | |a (ZDB-20-CBO)CR9780511616785 | ||
| 035 | |a (OCoLC)704548948 | ||
| 035 | |a (DE-599)BVBBV043942965 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-12 |a DE-92 | ||
| 082 | 0 | |a 570.285 |2 22 | |
| 084 | |a QH 252 |0 (DE-625)141562: |2 rvk | ||
| 084 | |a WC 3420 |0 (DE-625)148084: |2 rvk | ||
| 100 | 1 | |a Roff, Derek A. |d 1949- |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Introduction to computer-intensive methods of data analysis in biology |c Derek A. Roff |
| 264 | 1 | |a Cambridge |b Cambridge University Press |c 2006 | |
| 300 | |a 1 online resource (vii, 368 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Title from publisher's bibliographic system (viewed on 05 Oct 2015) | ||
| 505 | 8 | |a 1. An introduction to computer intensive methods; 2. Maximum likelihood; 3. The Jack-knife; 4. The Bootstrap; 5. Randomisation; 6. Regression methods; 7. Bayesian methods; References; Exercises; Appendix A: an overview of S-Plus methods used in this book; Appendix B: brief description of S-Plus subroutines used in this book; Appendix C: S-Plus codes cited in text | |
| 520 | |a This 2006 guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological sciences. Modern computational tools, such as Maximum Likelihood, Monte Carlo and Bayesian methods, mean that data analysis no longer depends on elaborate assumptions designed to make analytical approaches tractable. These new 'computer-intensive' methods are currently not consistently available in statistical software packages and often require more detailed instructions. The purpose of this book therefore is to introduce some of the most common of these methods by providing a relatively simple description of the techniques. Examples of their application are provided throughout, using real data taken from a wide range of biological research. A series of software instructions for the statistical software package S-PLUS are provided along with problems and solutions for each chapter | ||
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Biology / Data processing | |
| 650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Biologie |0 (DE-588)4006851-1 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Biologie |0 (DE-588)4006851-1 |D s |
| 689 | 0 | 1 | |a Datenanalyse |0 (DE-588)4123037-1 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druckausgabe |z 978-0-521-60865-7 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druckausgabe |z 978-0-521-84628-8 |
| 856 | 4 | 0 | |u https://doi.org/10.1017/CBO9780511616785 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-20-CBO | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-029351935 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 966 | e | |u https://doi.org/10.1017/CBO9780511616785 |l BSB01 |p ZDB-20-CBO |q BSB_PDA_CBO |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1017/CBO9780511616785 |l FHN01 |p ZDB-20-CBO |q FHN_PDA_CBO |x Verlag |3 Volltext | |
Record in the Search Index
| _version_ | 1804176886424666112 |
|---|---|
| any_adam_object | |
| author | Roff, Derek A. 1949- |
| author_facet | Roff, Derek A. 1949- |
| author_role | aut |
| author_sort | Roff, Derek A. 1949- |
| author_variant | d a r da dar |
| building | Verbundindex |
| bvnumber | BV043942965 |
| classification_rvk | QH 252 WC 3420 |
| collection | ZDB-20-CBO |
| contents | 1. An introduction to computer intensive methods; 2. Maximum likelihood; 3. The Jack-knife; 4. The Bootstrap; 5. Randomisation; 6. Regression methods; 7. Bayesian methods; References; Exercises; Appendix A: an overview of S-Plus methods used in this book; Appendix B: brief description of S-Plus subroutines used in this book; Appendix C: S-Plus codes cited in text |
| ctrlnum | (ZDB-20-CBO)CR9780511616785 (OCoLC)704548948 (DE-599)BVBBV043942965 |
| dewey-full | 570.285 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 570 - Biology |
| dewey-raw | 570.285 |
| dewey-search | 570.285 |
| dewey-sort | 3570.285 |
| dewey-tens | 570 - Biology |
| discipline | Biologie Wirtschaftswissenschaften |
| doi_str_mv | 10.1017/CBO9780511616785 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03317nmm a2200517zc 4500</leader><controlfield tag="001">BV043942965</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">161206s2006 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780511616785</subfield><subfield code="c">Online</subfield><subfield code="9">978-0-511-61678-5</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1017/CBO9780511616785</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-20-CBO)CR9780511616785</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)704548948</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV043942965</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-12</subfield><subfield code="a">DE-92</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">570.285</subfield><subfield code="2">22</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">QH 252</subfield><subfield code="0">(DE-625)141562:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WC 3420</subfield><subfield code="0">(DE-625)148084:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Roff, Derek A.</subfield><subfield code="d">1949-</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Introduction to computer-intensive methods of data analysis in biology</subfield><subfield code="c">Derek A. Roff</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2006</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (vii, 368 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Title from publisher's bibliographic system (viewed on 05 Oct 2015)</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">1. An introduction to computer intensive methods; 2. Maximum likelihood; 3. The Jack-knife; 4. The Bootstrap; 5. Randomisation; 6. Regression methods; 7. Bayesian methods; References; Exercises; Appendix A: an overview of S-Plus methods used in this book; Appendix B: brief description of S-Plus subroutines used in this book; Appendix C: S-Plus codes cited in text</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This 2006 guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological sciences. Modern computational tools, such as Maximum Likelihood, Monte Carlo and Bayesian methods, mean that data analysis no longer depends on elaborate assumptions designed to make analytical approaches tractable. These new 'computer-intensive' methods are currently not consistently available in statistical software packages and often require more detailed instructions. The purpose of this book therefore is to introduce some of the most common of these methods by providing a relatively simple description of the techniques. Examples of their application are provided throughout, using real data taken from a wide range of biological research. A series of software instructions for the statistical software package S-PLUS are provided along with problems and solutions for each chapter</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Datenverarbeitung</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biology / Data processing</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Biologie</subfield><subfield code="0">(DE-588)4006851-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Biologie</subfield><subfield code="0">(DE-588)4006851-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druckausgabe</subfield><subfield code="z">978-0-521-60865-7</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druckausgabe</subfield><subfield code="z">978-0-521-84628-8</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1017/CBO9780511616785</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CBO</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029351935</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9780511616785</subfield><subfield code="l">BSB01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">BSB_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9780511616785</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">FHN_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV043942965 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:18Z |
| institution | BVB |
| isbn | 9780511616785 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029351935 |
| oclc_num | 704548948 |
| open_access_boolean | |
| owner | DE-12 DE-92 |
| owner_facet | DE-12 DE-92 |
| physical | 1 online resource (vii, 368 pages) |
| psigel | ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO ZDB-20-CBO FHN_PDA_CBO |
| publishDate | 2006 |
| publishDateSearch | 2006 |
| publishDateSort | 2006 |
| publisher | Cambridge University Press |
| record_format | marc |
| spelling | Roff, Derek A. 1949- Verfasser aut Introduction to computer-intensive methods of data analysis in biology Derek A. Roff Cambridge Cambridge University Press 2006 1 online resource (vii, 368 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 1. An introduction to computer intensive methods; 2. Maximum likelihood; 3. The Jack-knife; 4. The Bootstrap; 5. Randomisation; 6. Regression methods; 7. Bayesian methods; References; Exercises; Appendix A: an overview of S-Plus methods used in this book; Appendix B: brief description of S-Plus subroutines used in this book; Appendix C: S-Plus codes cited in text This 2006 guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological sciences. Modern computational tools, such as Maximum Likelihood, Monte Carlo and Bayesian methods, mean that data analysis no longer depends on elaborate assumptions designed to make analytical approaches tractable. These new 'computer-intensive' methods are currently not consistently available in statistical software packages and often require more detailed instructions. The purpose of this book therefore is to introduce some of the most common of these methods by providing a relatively simple description of the techniques. Examples of their application are provided throughout, using real data taken from a wide range of biological research. A series of software instructions for the statistical software package S-PLUS are provided along with problems and solutions for each chapter Datenverarbeitung Biology / Data processing Datenanalyse (DE-588)4123037-1 gnd rswk-swf Biologie (DE-588)4006851-1 gnd rswk-swf Biologie (DE-588)4006851-1 s Datenanalyse (DE-588)4123037-1 s 1\p DE-604 Erscheint auch als Druckausgabe 978-0-521-60865-7 Erscheint auch als Druckausgabe 978-0-521-84628-8 https://doi.org/10.1017/CBO9780511616785 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Roff, Derek A. 1949- Introduction to computer-intensive methods of data analysis in biology 1. An introduction to computer intensive methods; 2. Maximum likelihood; 3. The Jack-knife; 4. The Bootstrap; 5. Randomisation; 6. Regression methods; 7. Bayesian methods; References; Exercises; Appendix A: an overview of S-Plus methods used in this book; Appendix B: brief description of S-Plus subroutines used in this book; Appendix C: S-Plus codes cited in text Datenverarbeitung Biology / Data processing Datenanalyse (DE-588)4123037-1 gnd Biologie (DE-588)4006851-1 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4006851-1 |
| title | Introduction to computer-intensive methods of data analysis in biology |
| title_auth | Introduction to computer-intensive methods of data analysis in biology |
| title_exact_search | Introduction to computer-intensive methods of data analysis in biology |
| title_full | Introduction to computer-intensive methods of data analysis in biology Derek A. Roff |
| title_fullStr | Introduction to computer-intensive methods of data analysis in biology Derek A. Roff |
| title_full_unstemmed | Introduction to computer-intensive methods of data analysis in biology Derek A. Roff |
| title_short | Introduction to computer-intensive methods of data analysis in biology |
| title_sort | introduction to computer intensive methods of data analysis in biology |
| topic | Datenverarbeitung Biology / Data processing Datenanalyse (DE-588)4123037-1 gnd Biologie (DE-588)4006851-1 gnd |
| topic_facet | Datenverarbeitung Biology / Data processing Datenanalyse Biologie |
| url | https://doi.org/10.1017/CBO9780511616785 |
| work_keys_str_mv | AT roffdereka introductiontocomputerintensivemethodsofdataanalysisinbiology |