Tang diane (33 risultati)

Condizione: Very Good. 1987. Zoology, Natural History, Mammals. University of Chicago Press. 342p., very good -near fine paperback 10/26.

Paperback. Condizione: As new. As new paperback, previous owner's name stamp on half title page. The Effects of Social Structure on Population Genetics.

Condizione: Good. 1st Edition. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condizione: Very Good. Chicago: University Of Chicago Press, 1987. Brown spots on flyleaf, otherwise like new. The Effect of Social Structure on Population Genetics. Illustrations, index, 360 pages. A collection of 19 papers examines data from field studies of mammal populations (ungulates, carnivores and small mammals, as well as insular groups of human beings) to determine the way patterns of dispersal correlate with genetic structure. Trade Paperback. Very Good.…

Paperback. Condizione: New. Chicago: University Of Chicago Press, 1987. The Effect of Social Structure on Population Genetics. Illustrations, index, 360 pages. A collection of 19 papers examines data from field studies of mammal populations (ungulates, carnivores and small mammals, as well as insular groups of human beings) to determine the way patterns of dispersal correlate with genetic structure. Trade Paperback. New. 8vo.…

Paperback. Condizione: Clean & Unmarked. Clean. Straight. Tight. 342 pp.

Hardcover. Condizione: Fine. First Edition. Copyright Date: 1987 Sm Quarto, 1987, PP.462. Text Figures (illustratore).

Condizione: Very Good. No Jacket. 1987. Zoology, Natural History, Mammals. University of Chicago Press. 342 p.,very good cloth, no jacket. 10/26.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. Brand New.

Paperback. Condizione: New. Getting numbers is easy; getting numbers you can trust is hard. This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate innovation using trustworthy online controlled experiments, or A/B tests. Based on practical experiences at companies that each run more than 20,000 controlled experiments a year, the authors share examples, pitfalls, and advice for students and industry professionals getting started with experiments, plus deeper dives into advanced topics for practitioners who want to improve the way they make data-driven decisions. Learn how to . Use the scientific method to evaluate hypotheses using controlled experiments . Define key metrics and ideally an Overall Evaluation Criterion . Test for trustworthiness of the results and alert experimenters to violated assumptions . Build a scalable platform that lowers the marginal cost of experiments close to zero . Avoid pitfalls like carryover effects and Twyman's law . Understand how statistical issues play out in practice.…

Paperback. Condizione: New. Getting numbers is easy; getting numbers you can trust is hard. This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate innovation using trustworthy online controlled experiments, or A/B tests. Based on practical experiences at companies that each run more than 20,000 controlled experiments a year, the authors share examples, pitfalls, and advice for students and industry professionals getting started with experiments, plus deeper dives into advanced topics for practitioners who want to improve the way they make data-driven decisions. Learn how to . Use the scientific method to evaluate hypotheses using controlled experiments . Define key metrics and ideally an Overall Evaluation Criterion . Test for trustworthiness of the results and alert experimenters to violated assumptions . Build a scalable platform that lowers the marginal cost of experiments close to zero . Avoid pitfalls like carryover effects and Twyman's law . Understand how statistical issues play out in practice.…

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: As New. Unread book in perfect condition.

Condizione: New. 1987. Paperback. . . . . .

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback, 16.75x23.75cm, 342pp. Good condition. General light wear. A little creased at corners. Owner's stamp at half-title. ISBN: 0226102688.

Condizione: New.

Condizione: New. 1987. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condizione: Brand New. 1st edition. 360 pages. 9.50x6.75x0.75 inches. In Stock.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Condizione: As New. Unread book in perfect condition.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

Paperback. Condizione: Brand New. 271 pages. 9.00x6.00x0.75 inches. In Stock.

Paperback. Condizione: New. Getting numbers is easy; getting numbers you can trust is hard. This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate innovation using trustworthy online controlled experiments, or A/B tests. Based on practical experiences at companies that each run more than 20,000 controlled experiments a year, the authors share examples, pitfalls, and advice for students and industry professionals getting started with experiments, plus deeper dives into advanced topics for practitioners who want to improve the way they make data-driven decisions. Learn how to . Use the scientific method to evaluate hypotheses using controlled experiments . Define key metrics and ideally an Overall Evaluation Criterion . Test for trustworthiness of the results and alert experimenters to violated assumptions . Build a scalable platform that lowers the marginal cost of experiments close to zero . Avoid pitfalls like carryover effects and Twyman's law . Understand how statistical issues play out in practice.…