The Britannica Guide to Statistics and ProbabilityErik Gregersen Associate Editor, Astronomy and Space Exploration The Rosen Publishing Group, Inc, 15 Αυγ 2010 - 336 σελίδες In an effort to better forecast the future for gains, and combat the potential losses of uncertainty, numerous disciplines have come to rely on the power of statistics and probability. By observing patterns and repeated behaviors, mathematicians have devised calculations to significantly reduce human potential for error. This volume introduces the historical and mathematical basis of statistics and probability as well as their application to everyday situations. Readers will also meet the prominent thinkers who advanced the field and established a numerical basis for prediction. |
Περιεχόμενα
History of Statistics | 21 |
The Rise of Statistics | 33 |
Probability Theory | 48 |
Random Variables Distributions | 65 |
An Alternative Interpretation | 72 |
The Strong Law of Large Numbers | 84 |
Conditional Expectation and Least | 92 |
Stochastic Processes | 102 |
Graph Theory | 224 |
Polytopes | 236 |
Biographies | 244 |
Jakob Bernoulli | 251 |
Arthur Cayley | 259 |
Sir Ronald Aylmer Fisher | 265 |
AdrienMarie Legendre | 271 |
Karl Pearson | 277 |
Probability | 119 |
Hypothesis Testing | 132 |
Time Series and Forecasting | 145 |
Game Theory | 154 |
Theory | 188 |
History | 198 |
Problems of Enumeration | 202 |
The Principle of Inclusion | 209 |
Design Theory | 215 |
Adolphe Quetelet | 282 |
Special Topics | 291 |
Distribution Function | 298 |
Point Estimation | 313 |
Students TTest | 319 |
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Άλλες εκδόσεις - Προβολή όλων
The Britannica Guide to Statistics and Probability Britannica Educational Publishing Περιορισμένη προεπισκόπηση - 2010 |
Συχνά εμφανιζόμενοι όροι και φράσεις
American mathematician analysis application approximation average Bayesian Bhāskara II binomial distribution Brownian motion calculation called Cayley central limit theorem century Chebyshev's inequality coefficient combinatorial curve data values decision defined denoted determine developed draw equal equation error event example experiment Fermat finite formula French mathematician frequency game theory geometry given Hence hypothesis important independent infinite interval estimate Jakob Bernoulli known Laplace large numbers law of large least squares linear Markov math mathematical mathematician measure ment methods Neumann normal distribution observed obtained occurs orthogonal Latin squares parameter particle partitions percent permutations Pierre de Fermat players Poisson distribution population possible outcomes prediction prob probability distribution probability theory problem properties Quetelet random variable random walk real number red balls regression sample space sequence solution standard deviation statistical statistician stochastic process strategy subsets tion tosses variance vertices vote