Julian Dent

Distribution Channels: Understanding and Managing Channels to Market  eBooks & eLearning

Posted by step778 at Sept. 16, 2024
Distribution Channels: Understanding and Managing Channels to Market

Julian Dent, "Distribution Channels: Understanding and Managing Channels to Market"
English | 2011 | pages: 432 | ISBN: 0749462698, 0749476575 | EPUB | 7,9 mb

Distribution Channels: Understanding and Managing Channels to Market  eBooks & eLearning

Posted by step778 at Sept. 16, 2024
Distribution Channels: Understanding and Managing Channels to Market

Julian Dent, "Distribution Channels: Understanding and Managing Channels to Market"
English | 2011 | pages: 432 | ISBN: 0749462698, 0749476575 | EPUB | 7,9 mb

Technology Distribution Channels: Understanding and Managing Channels to Market  eBooks & eLearning

Posted by insetes at Aug. 10, 2023
Technology Distribution Channels: Understanding and Managing Channels to Market

Technology Distribution Channels: Understanding and Managing Channels to Market By Dent, Julian
2014 | 350 Pages | ISBN: 0749472170 | EPUB | 9 MB

Upon Further Review: The Greatest What-Ifs in Sports History [Audiobook]  eBooks & eLearning

Posted by First1 at May 15, 2018
Upon Further Review: The Greatest What-Ifs in Sports History [Audiobook]

Upon Further Review: The Greatest What-Ifs in Sports History [Audiobook] by Mike Pesca
English | May 15th, 2018 | ISBN: 1549198602 | MP3@64 kbps | 9 hrs 44 mins | 267.79 MB
Narrator: Shira Springer, Peter Thomas Fornatale, Jesse Eisenberg, Ben Lindbergh, Jonathan Hock, Mary Pilon, Steve Kornacki, Louisa Thomas, Nate DiMeo, Jeremy Schaap, Neil Pain, Will Leitch, Julian E. Zelizer, Liam Boylan-Pett

From Mike Pesca, host of the popular Slate podcast The Gist, comes the greatest sports minds imagining how the world would change if a play, trade, injury, or referee's call had just gone the other way.

Markov Chain Models — Rarity and Exponentiality  eBooks & eLearning

Posted by AvaxGenius at Dec. 24, 2022
Markov Chain Models — Rarity and Exponentiality

Markov Chain Models — Rarity and Exponentiality by Julian Keilson
English | PDF | 1979 | 199 Pages | ISBN : 0387904050 | 15.8 MB

in failure time distributions for systems modeled by finite chains. This introductory chapter attempts to provide an over­ view of the material and ideas covered. The presentation is loose and fragmentary, and should be read lightly initially. Subsequent perusal from time to time may help tie the mat­ erial together and provide a unity less readily obtainable otherwise. The detailed presentation begins in Chapter 1, and some readers may prefer to begin there directly. §O.l. Time-Reversibility and Spectral Representation. Continuous time chains may be discussed in terms of discrete time chains by a uniformizing procedure (§2.l) that simplifies and unifies the theory and enables results for discrete and continuous time to be discussed simultaneously.