Chance in Biology : : Using Probability to Explore Nature / / Steven Gaines, Mark Denny.
Life is a chancy proposition: from the movement of molecules to the age at which we die, chance plays a key role in the natural world. Traditionally, biologists have viewed the inevitable "noise" of life as an unfortunate complication. The authors of this book, however, treat random proces...
Saved in:
Superior document: | Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013 |
---|---|
VerfasserIn: | |
Place / Publishing House: | Princeton, NJ : : Princeton University Press, , [2011] ©2000 |
Year of Publication: | 2011 |
Edition: | Course Book |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (312 p.) :; 4 halftones, 81 line illus., 7 tables |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
9781400841400 |
---|---|
ctrlnum |
(DE-B1597)447725 (OCoLC)979755090 |
collection |
bib_alma |
record_format |
marc |
spelling |
Denny, Mark, author. aut http://id.loc.gov/vocabulary/relators/aut Chance in Biology : Using Probability to Explore Nature / Steven Gaines, Mark Denny. Course Book Princeton, NJ : Princeton University Press, [2011] ©2000 1 online resource (312 p.) : 4 halftones, 81 line illus., 7 tables text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Frontmatter -- Contents -- Preface -- 1. The Nature of Chance -- 2. Rules of Disorder -- 3. Discrete Patterns of Disorder -- 4. Continuous Patterns of Disorder -- 5. Random Walks -- 6. More Random Walks -- 7. The Statistics of Extremes -- 8. Noise and Perception -- 9. The Answers -- Symbol Index -- Author Index -- Subject Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star Life is a chancy proposition: from the movement of molecules to the age at which we die, chance plays a key role in the natural world. Traditionally, biologists have viewed the inevitable "noise" of life as an unfortunate complication. The authors of this book, however, treat random processes as a benefit. In this introduction to chance in biology, Mark Denny and Steven Gaines help readers to apply the probability theory needed to make sense of chance events--using examples from ocean waves to spiderwebs, in fields ranging from molecular mechanics to evolution. Through the application of probability theory, Denny and Gaines make predictions about how plants and animals work in a stochastic universe. Is it possible to pack a variety of ion channels into a cell membrane and have each operate at near-peak flow? Why are our arteries rubbery? The concept of a random walk provides the necessary insight. Is there an absolute upper limit to human life span? Could the sound of a cocktail party burst your eardrums? The statistics of extremes allows us to make the appropriate calculations. How long must you wait to see the detail in a moonlit landscape? Can you hear the noise of individual molecules? The authors provide answers to these and many other questions. After an introduction to the basic statistical methods to be used in this book, the authors emphasize the application of probability theory to biology rather than the details of the theory itself. Readers with an introductory background in calculus will be able to follow the reasoning, and sets of problems, together with their solutions, are offered to reinforce concepts. The use of real-world examples, numerous illustrations, and chapter summaries--all presented with clarity and wit--make for a highly accessible text. By relating the theory of probability to the understanding of form and function in living things, the authors seek to pique the reader's curiosity about statistics and provide a new perspective on the role of chance in biology. Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) Biomathematics. Nature Reference. Probabilities. Science Life Sciences Biology. SCIENCE / Life Sciences / Biology. bisacsh Gaines, Steven, author. aut http://id.loc.gov/vocabulary/relators/aut Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013 9783110442502 print 9780691094946 https://doi.org/10.1515/9781400841400 https://www.degruyter.com/isbn/9781400841400 Cover https://www.degruyter.com/cover/covers/9781400841400.jpg |
language |
English |
format |
eBook |
author |
Denny, Mark, Denny, Mark, Gaines, Steven, |
spellingShingle |
Denny, Mark, Denny, Mark, Gaines, Steven, Chance in Biology : Using Probability to Explore Nature / Frontmatter -- Contents -- Preface -- 1. The Nature of Chance -- 2. Rules of Disorder -- 3. Discrete Patterns of Disorder -- 4. Continuous Patterns of Disorder -- 5. Random Walks -- 6. More Random Walks -- 7. The Statistics of Extremes -- 8. Noise and Perception -- 9. The Answers -- Symbol Index -- Author Index -- Subject Index |
author_facet |
Denny, Mark, Denny, Mark, Gaines, Steven, Gaines, Steven, Gaines, Steven, |
author_variant |
m d md m d md s g sg |
author_role |
VerfasserIn VerfasserIn VerfasserIn |
author2 |
Gaines, Steven, Gaines, Steven, |
author2_variant |
s g sg |
author2_role |
VerfasserIn VerfasserIn |
author_sort |
Denny, Mark, |
title |
Chance in Biology : Using Probability to Explore Nature / |
title_sub |
Using Probability to Explore Nature / |
title_full |
Chance in Biology : Using Probability to Explore Nature / Steven Gaines, Mark Denny. |
title_fullStr |
Chance in Biology : Using Probability to Explore Nature / Steven Gaines, Mark Denny. |
title_full_unstemmed |
Chance in Biology : Using Probability to Explore Nature / Steven Gaines, Mark Denny. |
title_auth |
Chance in Biology : Using Probability to Explore Nature / |
title_alt |
Frontmatter -- Contents -- Preface -- 1. The Nature of Chance -- 2. Rules of Disorder -- 3. Discrete Patterns of Disorder -- 4. Continuous Patterns of Disorder -- 5. Random Walks -- 6. More Random Walks -- 7. The Statistics of Extremes -- 8. Noise and Perception -- 9. The Answers -- Symbol Index -- Author Index -- Subject Index |
title_new |
Chance in Biology : |
title_sort |
chance in biology : using probability to explore nature / |
publisher |
Princeton University Press, |
publishDate |
2011 |
physical |
1 online resource (312 p.) : 4 halftones, 81 line illus., 7 tables Issued also in print. |
edition |
Course Book |
contents |
Frontmatter -- Contents -- Preface -- 1. The Nature of Chance -- 2. Rules of Disorder -- 3. Discrete Patterns of Disorder -- 4. Continuous Patterns of Disorder -- 5. Random Walks -- 6. More Random Walks -- 7. The Statistics of Extremes -- 8. Noise and Perception -- 9. The Answers -- Symbol Index -- Author Index -- Subject Index |
isbn |
9781400841400 9783110442502 9780691094946 |
callnumber-first |
Q - Science |
callnumber-subject |
QH - Natural History and Biology |
callnumber-label |
QH323 |
callnumber-sort |
QH 3323.5 D46 42000EB |
url |
https://doi.org/10.1515/9781400841400 https://www.degruyter.com/isbn/9781400841400 https://www.degruyter.com/cover/covers/9781400841400.jpg |
illustrated |
Illustrated |
dewey-hundreds |
500 - Science |
dewey-tens |
570 - Life sciences; biology |
dewey-ones |
570 - Life sciences; biology |
dewey-full |
570.15192 570/.1/5192 |
dewey-sort |
3570.15192 |
dewey-raw |
570.15192 570/.1/5192 |
dewey-search |
570.15192 570/.1/5192 |
doi_str_mv |
10.1515/9781400841400 |
oclc_num |
979755090 |
work_keys_str_mv |
AT dennymark chanceinbiologyusingprobabilitytoexplorenature AT gainessteven chanceinbiologyusingprobabilitytoexplorenature |
status_str |
n |
ids_txt_mv |
(DE-B1597)447725 (OCoLC)979755090 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013 |
is_hierarchy_title |
Chance in Biology : Using Probability to Explore Nature / |
container_title |
Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013 |
author2_original_writing_str_mv |
noLinkedField noLinkedField |
_version_ |
1806143563277271040 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>05093nam a22007335i 4500</leader><controlfield tag="001">9781400841400</controlfield><controlfield tag="003">DE-B1597</controlfield><controlfield tag="005">20210830012106.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr || ||||||||</controlfield><controlfield tag="008">210830t20112000nju fo d z eng d</controlfield><datafield tag="019" ind1=" " ind2=" "><subfield code="a">(OCoLC)1054873598</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781400841400</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/9781400841400</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-B1597)447725</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)979755090</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-B1597</subfield><subfield code="b">eng</subfield><subfield code="c">DE-B1597</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">nju</subfield><subfield code="c">US-NJ</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QH323.5</subfield><subfield code="b">.D46 2000eb</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">SCI008000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570.15192</subfield><subfield code="a">570.15192</subfield><subfield code="a">570/.1/5192</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WC 7000</subfield><subfield code="2">rvk</subfield><subfield code="0">(DE-625)rvk/148142:</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Denny, Mark, </subfield><subfield code="e">author.</subfield><subfield code="4">aut</subfield><subfield code="4">http://id.loc.gov/vocabulary/relators/aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Chance in Biology :</subfield><subfield code="b">Using Probability to Explore Nature /</subfield><subfield code="c">Steven Gaines, Mark Denny.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Course Book</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Princeton, NJ : </subfield><subfield code="b">Princeton University Press, </subfield><subfield code="c">[2011]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2000</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (312 p.) :</subfield><subfield code="b">4 halftones, 81 line illus., 7 tables</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="a">text file</subfield><subfield code="b">PDF</subfield><subfield code="2">rda</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="t">Frontmatter -- </subfield><subfield code="t">Contents -- </subfield><subfield code="t">Preface -- </subfield><subfield code="t">1. The Nature of Chance -- </subfield><subfield code="t">2. Rules of Disorder -- </subfield><subfield code="t">3. Discrete Patterns of Disorder -- </subfield><subfield code="t">4. Continuous Patterns of Disorder -- </subfield><subfield code="t">5. Random Walks -- </subfield><subfield code="t">6. More Random Walks -- </subfield><subfield code="t">7. The Statistics of Extremes -- </subfield><subfield code="t">8. Noise and Perception -- </subfield><subfield code="t">9. The Answers -- </subfield><subfield code="t">Symbol Index -- </subfield><subfield code="t">Author Index -- </subfield><subfield code="t">Subject Index</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="a">restricted access</subfield><subfield code="u">http://purl.org/coar/access_right/c_16ec</subfield><subfield code="f">online access with authorization</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Life is a chancy proposition: from the movement of molecules to the age at which we die, chance plays a key role in the natural world. Traditionally, biologists have viewed the inevitable "noise" of life as an unfortunate complication. The authors of this book, however, treat random processes as a benefit. In this introduction to chance in biology, Mark Denny and Steven Gaines help readers to apply the probability theory needed to make sense of chance events--using examples from ocean waves to spiderwebs, in fields ranging from molecular mechanics to evolution. Through the application of probability theory, Denny and Gaines make predictions about how plants and animals work in a stochastic universe. Is it possible to pack a variety of ion channels into a cell membrane and have each operate at near-peak flow? Why are our arteries rubbery? The concept of a random walk provides the necessary insight. Is there an absolute upper limit to human life span? Could the sound of a cocktail party burst your eardrums? The statistics of extremes allows us to make the appropriate calculations. How long must you wait to see the detail in a moonlit landscape? Can you hear the noise of individual molecules? The authors provide answers to these and many other questions. After an introduction to the basic statistical methods to be used in this book, the authors emphasize the application of probability theory to biology rather than the details of the theory itself. Readers with an introductory background in calculus will be able to follow the reasoning, and sets of problems, together with their solutions, are offered to reinforce concepts. The use of real-world examples, numerous illustrations, and chapter summaries--all presented with clarity and wit--make for a highly accessible text. By relating the theory of probability to the understanding of form and function in living things, the authors seek to pique the reader's curiosity about statistics and provide a new perspective on the role of chance in biology.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Issued also in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: Internet via World Wide Web.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In English.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Biomathematics.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Nature</subfield><subfield code="x">Reference.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Probabilities.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Science</subfield><subfield code="x">Life Sciences</subfield><subfield code="x">Biology.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SCIENCE / Life Sciences / Biology.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gaines, Steven, </subfield><subfield code="e">author.</subfield><subfield code="4">aut</subfield><subfield code="4">http://id.loc.gov/vocabulary/relators/aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">Princeton University Press eBook-Package Backlist 2000-2013</subfield><subfield code="z">9783110442502</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">print</subfield><subfield code="z">9780691094946</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1515/9781400841400</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.degruyter.com/isbn/9781400841400</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="3">Cover</subfield><subfield code="u">https://www.degruyter.com/cover/covers/9781400841400.jpg</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">978-3-11-044250-2 Princeton University Press eBook-Package Backlist 2000-2013</subfield><subfield code="c">2000</subfield><subfield code="d">2013</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_BACKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EBACKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EBKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EEBKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_ESTMALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_PPALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_STMALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV-deGruyter-alles</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA12STME</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA13ENGE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA18STMEE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA5EBK</subfield></datafield></record></collection> |