000 03875nam a22004695i 4500
001 978-3-642-25697-4
003 DE-He213
005 20200421111839.0
007 cr nn 008mamaa
008 121024s2013 gw | s |||| 0|eng d
020 _a9783642256974
_9978-3-642-25697-4
024 7 _a10.1007/978-3-642-25697-4
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aLaudański, Ludomir M.
_eauthor.
245 1 0 _aBetween Certainty and Uncertainty
_h[electronic resource] :
_bStatistics and Probability in Five Units with Notes on Historical Origins and Illustrative Numerical Examples /
_cby Ludomir M. Laudański.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aX, 318 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v31
505 0 _aChapter 1 Descriptive Statistics -- Chapter 2 Grouped Data -- Chapter 3 Regression vrs. Correlation -- Chapter 4 Binomial Distribution -- Chapter 5 Normal Distribution. Binomial Heritage.
520 _a"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.    .
650 0 _aStatistics.
650 0 _aArtificial intelligence.
650 1 4 _aStatistics.
650 2 4 _aStatistics, general.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642256967
830 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v31
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-25697-4
912 _aZDB-2-ENG
942 _cEBK
999 _c55431
_d55431