000			03072cam a2200337Ii 4500
001			9780429088667
008			180331t20142014fluad ob 001 0 eng d
020			_a9780429088667 _q(e-book : PDF)
020			_z9781466506770 _q(hardback)
024	7		_a10.1201/b16899 _2doi
035			_a(OCoLC)880825122
040			_aFlBoTFG _cFlBoTFG _erda
050		4	_aQA279 _b.D355 2014
082	0	4	_a001.434 _bD229
100	1		_aDas, Rabindra Nath, _eauthor. _911233
245	1	0	_aRobust response surfaces, regression, and positive data analyses / _cRabindra Nath Das.
264		1	_aBoca Raton : _bCRC Press, _c[2014]
264		4	_c©2014
300			_a1 online resource
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
500			_aA Chapman and Hall book.
505	0		_a1. Introduction -- 2. Robust first-order designs -- 3. Robust second-order designs -- 4. Robust regression designs for non-normal distributions -- 5. Weakly robust rotatable designs -- 6. Robust second-order slope rotatability -- 7. Optimal robust second-order slope rotatable designs -- 8. Robust second-order slope-rotatability measures -- 9. Regression analyses with correlated errors and applications -- 10. Positive data analyses via log-normal and gamma models -- 11. General conclusions and discussions.
520			_aThe present book initiates the concept of robust response surface designs, along with the relevant regression and positive data analysis techniques. Response surface methodology (RSM), well-known in literature, is widely used in every field of science and technology such as Biology, Natural (Physical/Chemical), Environmental, Medical, Agricultural, Quality engineering et cetera RSM is the most popular experimental data generating, modeling and optimization technique in every field of science. It is a particular case of robust response surface methodology (RRSM). RSM has many limitations, and RRSM aims to overcome many of such limitations. Thus, RRSM will be much better than RSM. It is intended for anyone who knows basic concepts of experimental designs and regression analysis. This is the first unique book on RRSM. Every chapter is unique regarding its contents, presentation and organization. Problems on robust response surface designs such as rotatability, slope-rotatability, weak rotatability, optimality, and along with the method of estimation of model parameters, positive data analysis techniques are considered in this book. Some real examples on lifetime responses, resistivity, replicated measures, medical, demography, hydrogeology data et cetera, are analysed. Some examples (considered in this book) on design of experiments do not satisfy the classical assumptions of response surface methodology.-- _cProvided by publisher.
650		0	_aResponse surfaces (Statistics) _911234
650		0	_aExperimental design. _95808
776	0	8	_iPrint version: _z9781466506770 _w(DLC) 2014013174
856	4	0	_uhttps://www.taylorfrancis.com/books/9781466506800 _zClick here to view.
942			_cEBK
999			_c69913 _d69913