TY - BOOK AU - AU - Gehling,James G. AU - Grey,Kathleen AU - Narbonne,Guy M. AU - Vickers-Rich Patricia TI - Rise of animals: evolution and diversification of the kingdom animalia SN - 9780801886799 (hc : alk. paper) U1 - 560.1715 23 PY - 2007/// CY - Baltimore, Md. PB - John Hopkins University Press KW - Geology, Stratigraphic KW - Proterozoic KW - Paleontology KW - Biodiversity KW - Organisms KW - Life KW - Origin KW - Evolution N1 - Includes bibliographical references (p. 293-313) and index; PART 1: The Background: The Archean and Proterozoic Eons Chapter 1. The background. The Archean (4.5 million to 2500 million years ago) / P. Vickers-Rich and M.A. Fedonkin -- Chapter 2. The background. The Proterozoic (2.5 billion to 542 million years ago) / P. Vickers-Rich and M.A. Fedonkin -- PART 2: The Fossil Sites: Rare and Extraordinary Chapter 3. The misty coasts of Newfoundland / G.M. Narbonne, J.G. Gehling and P. Vickers-Rich -- Chapter 4. The Nama fauna of southern Africa / P. Vickers-Rich -- Chapter 5. The Ediacara Hills / J.G. Gehling and P. Vickers-Rich -- Chapter 6. The White Sea's windswept coasts / M.A. Fedonkin and P. Vickers-Rich -- Chapter 7. Podolia's green valleys / M.A. Fedonkin and P. Vickers-Rich -- Chapter 8. The Siberian tundra / M.A. Fedonkin and P. Vickers-Rich -- Chapter 9. The Urals / M.A. Fedonkin and P. Vickers-Rich -- Chapter 10. The Canadian Cordillera / Guy M. Narbonne -- Chapter 11. Beyond the major sites / P. Vickers-Rich and M.A. Fedonkin -- PART 3: Other Evidence of Animalia Chapter 12. First trace of motion / M.A. Fedonkin and P. Vickers-Rich -- Chapter 13. The world of the very small : fueling the Animalia / K. Grey -- PART 4: A Dramatic Crossroads-The Cambrian "Explosion"? Chapter 14. Body plans, strange and familiar, and the enigma of 542 / P. Vickers-Rich -- Atlas of Precambrian metazoans / P. Vickers-Rich ... [et al.] N2 - "Based on a course taught to undergraduate students in engineering for over 30 years, this textbook presents all the material for a first course in stationary stochastic processes (SSP). Following naturally from a mathematical statistics course, it covers model building via SSP with a focus on engineering applications. The book includes many exercises and computer-based practicals using MATLAB"-- ER -