{"product_id":"9783642256967","title":"Intelligent Systems Reference Library: Statistics and Probability in Five Units with Notes on Historical Origins and Illustrative Numerical Examples","description":"\u003ch1\u003eIntelligent Systems Reference Library: Statistics and Probability in Five Units with Notes on Historical Origins and Illustrative Numerical Examples\u003c\/h1\u003e \u003ch2\u003eLaudański, Ludomir M.\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003e„Between Certainty \u0026amp; 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:\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e·         Chapter 1  \u003ci\u003eDescriptive Statistics\u003c\/i\u003e:  Compressing small samples, basic averages - mean and variance, their main properties including God’s proof; linear transformations and \u003ci\u003ez-scored\u003c\/i\u003e statistics .\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e·         Chapter 2 \u003ci\u003eGrouped data\u003c\/i\u003e: 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.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e·         Chapter 3 \u003ci\u003eRegression and correlation\u003c\/i\u003e: 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?\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e·         Chapter 4 \u003ci\u003eBinomial distribution\u003c\/i\u003e: 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.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e·         Chapter 5  \u003ci\u003eNormal distribution and binomial heritage\u003c\/i\u003e – Tables of the normal distribution. Abraham de Moivre and the second theorem of de Moivre-Laplace.  \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e·         Chapter 1  \u003ci\u003eDescriptive Statistics\u003c\/i\u003e:  Compressing small samples, basic averages - mean and variance, their main properties including God’s proof; linear transformations and \u003ci\u003ez-scored\u003c\/i\u003e statistics .\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e·         Chapter 2 \u003ci\u003eGrouped data\u003c\/i\u003e: 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.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e·         Chapter 3 \u003ci\u003eRegression and correlation\u003c\/i\u003e: 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?\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e·         Chapter 4 \u003ci\u003eBinomial distribution\u003c\/i\u003e: 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.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e·         Chapter 5  \u003ci\u003eNormal distribution and binomial heritage\u003c\/i\u003e – Tables of the normal distribution. Abraham de Moivre and the second theorem of de Moivre-Laplace.  \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e·         Chapter 5  \u003ci\u003eNormal distribution and binomial heritage\u003c\/i\u003e – Tables of the normal distribution. Abraham de Moivre and the second theorem of de Moivre-Laplace.  \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2012-10-14\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9783642256967\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-642-25697-4\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 318\u003c\/p\u003e ","brand":"Springer Berlin Heidelberg","offers":[{"title":"Default Title","offer_id":44450622800012,"sku":"9783642256967","price":98.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783642256967.jpg?v=1775763810","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783642256967","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}