000 02335nam a2200361 i 4500
001 CR9781009025317
003 UkCbUP
005 20240730160734.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 201222s2022||||enk o ||1 0|eng|d
020 _a9781009025317 (ebook)
020 _z9781316516843 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aGB656.2.S7
_bS56 2022
082 0 0 _a628.01/5195
_223
100 1 _aSingh, V. P.
_q(Vijay P.)
_eauthor.
_974286
245 1 0 _aGeneralized frequency distributions for environmental and water engineering /
_cVijay P. Singh, Texas A&M University, Lan Zhang, Dewberry.
264 1 _aCambridge :
_bCambridge University Press,
_c2022.
300 _a1 online resource (xvi, 315 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 07 Apr 2022).
520 _aA multitude of processes in hydrology and environmental engineering are either random or entail random components which are characterized by random variables. These variables are described by frequency distributions. This book provides an overview of different systems of frequency distributions, their properties, and applications to the fields of water resources and environmental engineering. A variety of systems are covered, including the Pearson system, Burr system, and systems commonly applied in economics, such as the D'Addario, Dagum, Stoppa, and Esteban systems. The latter chapters focus on the Singh system and the frequency distributions deduced from Bessel functions, maximum entropy theory, and the transformations of random variables. The final chapter introduces the genetic theory of frequency distributions. Using real-world data, this book provides a valuable reference for researchers, graduate students, and professionals interested in frequency analysis.
650 0 _aHydrology
_xStatistical methods.
_974287
650 0 _aEnvironmental engineering
_xStatistical methods.
_974288
650 0 _aDistribution (Probability theory)
_910767
700 1 _aZhang, Lan,
_eauthor.
_974289
776 0 8 _iPrint version:
_z9781316516843
856 4 0 _uhttps://doi.org/10.1017/9781009025317
942 _cEBK
999 _c84082
_d84082