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Chance in Biology
A01=Mark Denny
A01=Steven Gaines
Action potential
Allele
Amino acid
Amplitude
Approximation
Author_Mark Denny
Author_Steven Gaines
Bayes' theorem
Bernoulli trial
Binomial distribution
Biologist
Biology
Boltzmann constant
Calculation
Category=PBT
Category=PDE
Category=PS
Chaos theory
Combination
Cumulative distribution function
Derivative
Diffusivity
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eq_non-fiction
eq_science
Equation
Estimation
Expected value
Gamete
Genetic drift
Geometric distribution
Large numbers
Likelihood function
Logarithm
Mass diffusivity
Mathematician
Mathematics
Mean squared error
Measurement
Molecular diffusion
Molecule
Noise (electronics)
Normal distribution
Organism
Physicist
Poisson distribution
Polymer
Prediction
Probability
Probability density function
Probability distribution
Probability theory
Proportionality (mathematics)
Protein
Quantity
Quantum mechanics
Random variable
Random walk
Room temperature
Sample space
Small number
Sodium
Spider silk
Square root
Standard deviation
Standard error
Statistic
Statistical inference
Stiffness
Stochastic process
Summation
Surface area
Temperature
Thermal fluctuations
Thermodynamic temperature
Uncertainty principle
Variable (mathematics)
Variance
Product details
- ISBN 9780691094946
- Weight: 425g
- Dimensions: 152 x 235mm
- Publication Date: 23 Sep 2002
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
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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.
Mark Denny is the current DeNault Professor of Marine Sciences at Stanford University's Hopkins Marine Station in Pacific Grove, California. His books include "Air and Water: The Biology and Physics of Life's Media" and "Biology and the Mechanics of the Wave-Swept Environment" (both Princeton). Steven Gaines is Professor of Ecology, Evolution, and Marine Biology at the University of California, Santa Barbara.
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