Cargando…
Chance in biology : using probability to explore nature /
Through the application of probability theory, this text makes predictions about how plants and animals work in a stochastic universe. It uses real-world examples, numerous illustrations and chapter summaries.
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Princeton :
Princeton University Press,
©2000.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000Ma 4500 | ||
|---|---|---|---|
| 001 | JSTOR_ocn769188188 | ||
| 003 | OCoLC | ||
| 005 | 20231005004200.0 | ||
| 006 | m o d | ||
| 007 | cr cn||||||||| | ||
| 008 | 000322s2000 njua ob 001 0 eng d | ||
| 010 | |z 00036687 | ||
| 040 | |a E7B |b eng |e pn |c E7B |d N$T |d REDDC |d OCLCQ |d DEBSZ |d OCLCQ |d JSTOR |d OCLCF |d P@U |d YDXCP |d COO |d OCLCQ |d AZK |d LOA |d JBG |d COCUF |d AGLDB |d MOR |d PIFAG |d OTZ |d CUS |d OCLCQ |d IOG |d U3W |d EZ9 |d STF |d WRM |d VTS |d NRAMU |d INT |d VT2 |d AU@ |d OCLCQ |d LVT |d OCLCQ |d VLY |d AJS |d OCLCO |d OCLCQ | ||
| 016 | 7 | |a 000021426095 |2 AU | |
| 019 | |a 889219805 |a 961594384 |a 962595880 |a 966265350 |a 988474694 |a 991994248 |a 995040698 |a 1037790472 |a 1038690614 |a 1045541457 |a 1055348716 |a 1057975664 |a 1162461496 | ||
| 020 | |a 9781400841400 |q (electronic bk.) | ||
| 020 | |a 1400841402 |q (electronic bk.) | ||
| 020 | |a 9780691005218 | ||
| 020 | |a 0691005214 | ||
| 020 | |z 0691005214 |q (alk. paper) | ||
| 020 | |z 0691094942 | ||
| 020 | |z 9780691094946 | ||
| 020 | |a 1283303361 | ||
| 020 | |a 9781283303361 | ||
| 020 | |a 9786613303363 | ||
| 020 | |a 6613303364 | ||
| 029 | 1 | |a AU@ |b 000051621642 | |
| 029 | 1 | |a AU@ |b 000052942299 | |
| 029 | 1 | |a AU@ |b 000061027298 | |
| 029 | 1 | |a DEBBG |b BV043151840 | |
| 029 | 1 | |a DEBSZ |b 372706029 | |
| 029 | 1 | |a DEBSZ |b 421512857 | |
| 029 | 1 | |a GBVCP |b 1003686990 | |
| 029 | 1 | |a NZ1 |b 14972870 | |
| 029 | 1 | |a NZ1 |b 16061138 | |
| 035 | |a (OCoLC)769188188 |z (OCoLC)889219805 |z (OCoLC)961594384 |z (OCoLC)962595880 |z (OCoLC)966265350 |z (OCoLC)988474694 |z (OCoLC)991994248 |z (OCoLC)995040698 |z (OCoLC)1037790472 |z (OCoLC)1038690614 |z (OCoLC)1045541457 |z (OCoLC)1055348716 |z (OCoLC)1057975664 |z (OCoLC)1162461496 | ||
| 037 | |a 22573/cttsn6j |b JSTOR | ||
| 050 | 4 | |a QH323.5 |b .D46 2000eb | |
| 072 | 7 | |a NAT |x 027000 |2 bisacsh | |
| 072 | 7 | |a SCI |x 008000 |2 bisacsh | |
| 072 | 7 | |a SCI |x 086000 |2 bisacsh | |
| 072 | 7 | |a SCI008000 |2 bisacsh | |
| 082 | 0 | 4 | |a 570/.1/5192 |2 21 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Denny, Mark W., |d 1951- |e author. | |
| 245 | 1 | 0 | |a Chance in biology : |b using probability to explore nature / |c Mark Denny and Steven Gaines. |
| 260 | |a Princeton : |b Princeton University Press, |c ©2000. | ||
| 300 | |a 1 online resource (xiii, 291 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file |2 rda | ||
| 380 | |a Bibliography | ||
| 504 | |a Includes bibliographical references and indexes. | ||
| 505 | 0 | |a Machine derived contents note: Table of contents for Chance in biology : using probability to explore nature / Mark Denny and Steven Gaines. -- Bibliographic record and links to related information available from the Library of Congress catalog -- Information from electronic data provided by the publisher. May be incomplete or contain other coding. -- Preface xi -- 1 The Nature of Chance 3 -- 1.1 Silk, Strength, and Statistics 3 -- 1.2 What Is Certain?7 -- 1.3 Determinism versus Chance 8 -- 1.4 Chaos 9 -- 1.5 A Road Map 11 -- 2 Rules of Disorder 12 -- 2.1 Events, Experiments, and Outcomes 12 -- 2.1.1 Sarcastic Fish 13 -- 2.1.2 Bipolar Smut 14 -- 2.1.3 Discrete versus Continuous 17 -- 2.1.4 Drawing Pictures 18 -- 2.2 Probability 19 -- 2.3 Rules and Tools 20 -- 2.3.1 Events Are the Sum of Their Parts 20 -- 2.3.2 The Union of Sets 21 -- 2.3.3 The Probability of a Union 23 -- 2.3.4 Probability and the Intersection of Sets 24 -- 2.3.5 The Complement of a Set 25 -- 2.3.6 Additional Information and Conditional Probabilities 27 -- 2.3.7 Bayes' Formula 29 -- 2.3.8 AIDS and Bayes' Formula 30 -- 2.3.9 The Independence of Sets 32 -- 2.4 Probability Distributions 34 -- 2.5 Summary 37 -- 2.6 Problems 37 -- 3 Discrete Patterns of Disorder 40 -- 3.1 Random Variables 40 -- 3.2 Expectations Defined 42 -- 3.3 The Variance 46 -- 3.4 The Trials of Bernoulli 48 -- 3.5 Beyond 0 's and 1 's 50 -- 3.6 Bernoulli = Binomial 51 -- 3.6.1 Permutations and Combinations 53 -- 3.7 Waiting Forever 60 -- 3.8 Summary 65 -- 3.9 Problems 66 -- 4 Continuous Patterns of Disorder 68 -- 4.1 The Uniform Distribution 69 -- 4.1.1 The Cumulative Probability Distribution 70 -- 4.1.2 The Probability Density Function 71 -- 4.1.3 The Expectation 74 -- 4.1.4 The Variance 76 -- 4.2 The Shape of Distributions 77 -- 4.3 The Normal Curve 79 -- 4.4 Why Is the Normal Curve Normal?82 -- 4.5 The Cumulative Normal Curve 84 -- 4.6 The Standard Error 86 -- 4.7 A Brief Detour to Statistics 89 -- 4.8 Summary 92 -- 4.9 Problems 93 -- 4.10 Appendix 1:The Normal Distribution 94 -- 4.11 Appendix 2:The Central Limit Theorem 98 -- 5 Random Walks 106 -- 5.1 The Motion of Molecules 106 -- 5.2 Rules of a Random Walk 110 -- 5.2.1 The Average 110 -- 5.2.2 The Variance 112 -- 5.2.3 Diffusive Speed 115 -- 5.3 Diffusion and the Real World 115 -- 5.4 A Digression on the Binomial Theorem 117 -- 5.5 The Biology of Diffusion 119 -- 5.6 Fick's Equation 123 -- 5.7 A Use of Fick's Equation: Limits to Size 126 -- 5.8 Receptors and Channels 130 -- 5.9 Summary 136 -- 5.10 Problems 137 -- 6 More Random Walks 139 -- 6.1 Diffusion to Capture 139 -- 6.1.1 Two Absorbing Walls 142 -- 6.1.2 One Reflecting Wall 144 -- 6.2 Adrift at Sea: Turbulent Mixing of Plankton 145 -- 6.3 Genetic Drift 148 -- 6.3.1 A Genetic Diffusion Coefficient 149 -- 6.3.2 Drift and Fixation 151 -- 6.4 Genetic Drift and Irreproducible Pigs 154 -- 6.5 The Biology of Elastic Materials 156 -- 6.5.1 Elasticity Defined 156 -- 6.5.2 Biological Rubbers 157 -- 6.5.3 The Limits to Energy Storage 161 -- 6.6 Random Walks in Three Dimensions 163 -- 6.7 Random Protein Con .gurations 167 -- 6.8 A Segue to Thermodynamics 169 -- 6.9 Summary 173 -- 6.10 Problems 173 -- 7 The Statistics of Extremes 175 -- 7.1 The Danger of Cocktail Parties 175 -- 7.2 Calculating the Maximum 182 -- 7.3 Mean and Modal Maxima 185 -- 7.4 Ocean Waves 186 -- 7.5 The Statistics of Extremes 189 -- 7.6 Life and Death in Rhode Island 194 -- 7.7 Play Ball!196 -- 7.8 A Note on Extrapolation 204 -- 7.9 Summary 206 -- 7.10 Problems 206 -- 8 Noise and Perception 208 -- 8.1 Noise Is Inevitable 208 -- 8.2 Dim Lights and Fuzzy Images 212 -- 8.3 The Poisson Distribution 213 -- 8.4 Bayes' Formula and the Design of Rods 218 -- 8.5 Designing Error-Free Rods 219 -- 8.5.1 The Origin of Membrane Potentials 220 -- 8.5.2 Membrane Potential in Rod Cells 222 -- 8.6 Noise and Ion Channels 225 -- 8.6.1 An Electrical Analog 226 -- 8.6.2 Calculating the Membrane Voltage 227 -- 8.6.3 Calculating the Size 229 -- 8.7 Noise and Hearing 230 -- 8.7.1 Fluctuations in Pressure 231 -- 8.7.2 The Rate of Impact 232 -- 8.7.3 Fluctuations in Velocity 233 -- 8.7.4 Fluctuations in Momentum 235 -- 8.7.5 The Standard Error of Pressure 235 -- 8.7.6 Quantifying the Answer 236 -- 8.8 The Rest of the Story 239 -- 8.9 Stochastic Resonance 239 -- 8.9.1 The Utility of Noise 239 -- 8.9.2 Nonlinear Systems 242 -- 8.9.3 The History of Stochastic Resonance 244 -- 8.10 Summary 245 -- 8.11 A Word at the End 246 -- 8.12 A Problem 247 -- 8.13 Appendix 248 -- 9 The Answers 250 -- 9.1 Chapter 2 250 -- 9.2 Chapter 3 256 -- 9.3 Chapter 4 262 -- 9.4 Chapter 5 266 -- 9.5 Chapter 6 269 -- 9.6 Chapter 7 271 -- 9.7 Chapter 8 273 -- Symbol Index 279 -- Author Index 284 -- Subject Index 286 -- Library of Congress subject headings for this publication: Biomathematics, Probabilities. | |
| 520 | |a Through the application of probability theory, this text makes predictions about how plants and animals work in a stochastic universe. It uses real-world examples, numerous illustrations and chapter summaries. | ||
| 546 | |a English. | ||
| 590 | |a JSTOR |b Books at JSTOR All Purchased | ||
| 590 | |a JSTOR |b Books at JSTOR Evidence Based Acquisitions | ||
| 590 | |a JSTOR |b Books at JSTOR Demand Driven Acquisitions (DDA) | ||
| 650 | 0 | |a Biomathematics. | |
| 650 | 0 | |a Probabilities. | |
| 650 | 6 | |a Biomathématiques. | |
| 650 | 6 | |a Probabilités. | |
| 650 | 7 | |a probability. |2 aat | |
| 650 | 7 | |a NATURE |x Reference. |2 bisacsh | |
| 650 | 7 | |a SCIENCE |x Life Sciences |x Biology. |2 bisacsh | |
| 650 | 7 | |a SCIENCE |x Life Sciences |x General. |2 bisacsh | |
| 650 | 7 | |a Biomathematics. |2 fast |0 (OCoLC)fst00832555 | |
| 650 | 7 | |a Probabilities. |2 fast |0 (OCoLC)fst01077737 | |
| 653 | |a Biological sciences. | ||
| 653 | |a Statistics & probability. | ||
| 653 | |a Applied mathematics. | ||
| 700 | 1 | |a Gaines, Steven, |d 1951- |e author. | |
| 776 | 0 | 8 | |i Print version: |a Denny, Mark W., 1951- |t Chance in biology. |d Princeton : Princeton University Press, ©2000 |w (DLC) 00036687 |
| 856 | 4 | 0 | |u https://jstor.uam.elogim.com/stable/10.2307/j.ctt7rqt4 |z Texto completo |
| 938 | |a ebrary |b EBRY |n ebr10504758 | ||
| 938 | |a EBSCOhost |b EBSC |n 399089 | ||
| 938 | |a Project MUSE |b MUSE |n muse37049 | ||
| 938 | |a YBP Library Services |b YANK |n 7201826 | ||
| 994 | |a 92 |b IZTAP | ||