Probability & Statistics
Suggestions for Probability & Statistics
Springer (9783319298528)
WH Freeman (9781464192937)
South-Western College Pub (9781337093453)
Routledge (9781138289734)
Oxford University Press (9780198787846)
Wiley (9780470034682)
Cambridge University Press (9780521183284) | Statistics Explained
John Wiley & Sons (9780470023532)
Cambridge University Press (9780521497893)
Springer (9780387202877) | Manifests itself
Wadsworth Publishing (9781337098120)
Springer (9783319461601) | Develop and nurture statistical
John Wiley & Sons (9780470059975)
John Wiley & Sons Ltd (9780471042228)
Chapman and Hall/CRC (9781584885580)
Academic Press (9780123850225) | Sets have to say
John Wiley & Sons Inc (9780471363576)
imusti (9780521559133)
John Wiley & Sons (9780470849811)
Brand: The Mathematical Association of America (9780521546775 / 35 b/w illus. 161 exercises) | Guaranteed packaging No quibbles
(9780521674362 / 108 tables)
(9780387712642 / 22565750)
Oxford University Press (9780195152968 / 9780195152968) | Packaging No quibbles
(9780470641835)
Brand: Cambridge University Press (9780521796361 / Illustrated) | Irresistible Integrals, Exploring many areas
(9780470025192 / YES1873085)
(9780521379342 / Worked examples or Exercises) | High-energy physics
Guilford Press (9781462519491 / unknown)
SAGE Publications Ltd (9780761967590 / unknown)
Cambridge University Press (9780521588072 / line drawings)
(9780521525695 / 49 b/w illus. 7 tables 71 exercises)
(9780521180252 / 4 Tables, unspecified; 12 Line drawings,)
Cambridge University Press (9780521843195 / 4 Tables, unspecified)
Chapman and Hall/CRC (9781498779982 / 153 Tables, black and white; 900 Illustr) - Second edition - Chapman & Hall/CRC - Taylor and Francis - Height: 195 mm - Spine width: 31 mm - Width: 261 mm - ISBN: 9781498779982
(9783540476405)
(9780262013192 / 26369268) - Dimensions: 229 x 203 x 49 mm - Height: 230 mm - Spine width: 55 mm - Width: 208 mm - The MIT Press - ISBN: 9780262013192 - Number of pages: 1231 - Languages: English - Weight: 2180 g | Probabilistic models