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Carte Between Certainty and Uncertainty Ludomir M. Lauda ski

Between Certainty and Uncertainty

Statistics and Probability in Five Units With Notes on Historical Origins and Illustrative Numerical Examples

Autor: Ludomir M. Lauda ski
Limbă: engleză
Legare: Copertă tare
Editura: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Disponibilitate: În depozitul extern
Expediem în 10-13 zile
551.23 lei
Between Certainty & Uncertainty is a one-of a-kind short course on statistics for students, engineer...

Informații despre carte

Autor
Ludomir M. Lauda ski
Limbă
engleză
Legare
Carte - Copertă tare
Publicat
2012
Pagini
318
EAN
9783642256967
ISBN
3642256961
Enbook ID
01659374
Editura
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Greutate
6151
Dimensiuni
155 x 235 x 22

Descriere completă

Between Certainty & Uncertainty is a one-of a-kind short course on statistics for students, engineers and researchers. It is a fascinating introduction to statistics and probability with notes on historical origins and 80 illustrative numerical examples organized in the five units: · Chapter 1 Descriptive Statistics: Compressing small samples, basic averages - mean and variance, their main properties including God s proof; linear transformations and z-scored statistics .§· Chapter 2 Grouped data: Udny Yule s concept of qualitative and quantitative variables. Grouping these two kinds of data. Graphical tools. Combinatorial rules and qualitative variables. Designing frequency histogram. Direct and coded evaluation of quantitative data. Significance of percentiles.§· Chapter 3 Regression and correlation: Geometrical distance and equivalent distances in two orthogonal directions as a prerequisite to the concept of two regression lines. Misleading in interpreting two regression lines. Derivation of the two regression lines. Was Hubble right? Houbolt s cloud. What in fact measures the correlation coefficient?§· Chapter 4 Binomial distribution: Middle ages origins of the binomials; figurate numbers and combinatorial rules. Pascal s Arithmetical Triangle. Bernoulli s or Poisson Trials? John Arbuthnot curing binomials. How Newton taught S. Pepys probability. Jacob Bernoulli s Weak Law of Large Numbers and others. · Chapter 5 Normal distribution and binomial heritage Tables of the normal distribution. Abraham de Moivre and the second theorem of de Moivre-Laplace. §· Chapter 1 Descriptive Statistics: Compressing small samples, basic averages - mean and variance, their main properties including God s proof; linear transformations and z-scored statistics .§· Chapter 2 Grouped data: Udny Yule s concept of qualitative and quantitative variables. Grouping these two kinds of data. Graphical tools. Combinatorial rules and qualitative variables. Designing frequency histogram. Direct and coded evaluation of quantitative data. Significance of percentiles.§· Chapter 3 Regression and correlation: Geometrical distance and equivalent distances in two orthogonal directions as a prerequisite to the concept of two regression lines. Misleading in interpreting two regression lines. Derivation of the two regression lines. Was Hubble right? Houbolt s cloud. What in fact measures the correlation coefficient?§· Chapter 4 Binomial distribution: Middle ages origins of the binomials; figurate numbers and combinatorial rules. Pascal s Arithmetical Triangle. Bernoulli s or Poisson Trials? John Arbuthnot curing binomials. How Newton taught S. Pepys probability. Jacob Bernoulli s Weak Law of Large Numbers and others. · Chapter 5 Normal distribution and binomial heritage Tables of the normal distribution. Abraham de Moivre and the second theorem of de Moivre-Laplace. §· Chapter 5 Normal distribution and binomial heritage Tables of the normal distribution. Abraham de Moivre and the second theorem of de Moivre-Laplace. §

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