| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910779778603321 |
|
|
Titolo |
Pollination [[electronic resource] ] : mechanisms, ecology and agricultural advances / / Nichole D. Raskin and Patrick T. Vuturro, editors |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Hauppauge, N.Y., : Nova Science Publishers, c2012 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (186 p.) |
|
|
|
|
|
|
Collana |
|
Botanical research and practices |
|
|
|
|
|
|
Altri autori (Persone) |
|
RaskinNichole D |
VuturroPatrick T |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
Pollination strategies: the point of view of plants-personal experiences and review of the literature / Guido Flamini -- Pollination mechanisms in Passiflora species: the common and the rare flowers - ecological aspects and implications for horticulture / M.T. Amela García, P.S. Hoc -- Pollen tube growth and ovule abortion in Olea europaea (Oleaceae): a case of ovule selection? / Julián Cuevas ... [et al.] -- Application of airborne pollen data to agronomical research / H. García-Mozo -- Pollen-pistil interactions in flowering plants / Houria Hadj-Arab -- The use of bees for crop pollination: history, lessons learned and the future / Carlos H. Vergara -- 2N pollen formation: 40 cytological mechanisms of nuclear neiotic restitution / Natalia V. Shamina -- Orbicules in relation to the pollination modes / B.G. Galati ... [et al.]. |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910360853003321 |
|
|
Titolo |
Accurate Case Outcome Modeling : Entrepreneur Policy, Management, and Strategy Applications / / edited by Arch G. Woodside |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2019.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XVII, 255 p. 44 illus., 39 illus. in color.) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Statistics |
Manufactures |
Business consultants |
Statistics for Business, Management, Economics, Finance, Insurance |
Manufacturing, Machines, Tools, Processes |
Business Consulting |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
|
|
|
|
|
Nota di contenuto |
|
Matching case identification hypotheses and case-level data analysis -- Constructing algorithms for forecasting high (low) project management performance -- Accurate outcomes performance screening in strategic management -- Modeling human resource outcomes -- Customers’ assessments of retail traditional local markets: Strategy outcomes performance screening -- Cultures’ outcomes on entrepreneurship, innovation, and national quality-of-life -- Indexes. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
This volume advocates accurate case outcome prediction that does not rely on symmetric modeling. To that end, it provides theory construction and testing applications in several sub-disciplines of business and the social sciences to illustrate how to move away from symmetric theory construction. Each chapter constructs case outcome theory and includes empirical analysis of outcomes. Chapter 1 provides a foundation of symmetric variable directional-relationship theory construction and null hypothesis significance testing versus asymmetric case outcome theory construction and somewhat precise outcome testing, while Chapters 2–6 investigate these principles through a range |
|
|
|
|
|
|
|
|
|
|
of applications. This volume will be very useful to researchers and professionals in manufacturing, service, consulting, management, marketing, organizational studies, and more. It will also be an excellent resource for advanced statistics students in building and testing case outcome models. Data sets are included so that readers can replicate findings presented in each chapter, and grow to present and test additional theories. |
|
|
|
|
|
| |