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1

Malchose, Donald Clarence. Identifying factors that predict teen driver crashes. Mountain-Plains Consortium, 2011.

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2

Murphy, Joseph E. Stock market probability: Using statistics to predict and optimize investment outcomes. Probus Pub. Co., 1994.

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3

Office, General Accounting. Early childhood programs: Parent education and income best predict participation : report to the Chairman, Subcommittee on Children, Family, Drugs and Alcoholism, Committee on Labor and Human Resources, U.S. Senate. The Office, 1994.

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4

Using Modeling To Predict And Prevent Victimization. Springer International Publishing AG, 2013.

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5

Elsner, James B., and Thomas H. Jagger. Hurricane Climatology. Oxford University Press, 2013. http://dx.doi.org/10.1093/oso/9780199827633.001.0001.

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Hurricanes are nature's most destructive storms and they are becoming more powerful as the globe warms. Hurricane Climatology explains how to analyze and model hurricane data to better understand and predict present and future hurricane activity. It uses the open-source and now widely used R software for statistical computing to create a tutorial-style manual for independent study, review, and reference. The text is written around the code that when copied will reproduce the graphs, tables, and maps. The approach is different from other books that use R. It focuses on a single topic and explai
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6

Lee, P. J. Statistical Methods for Estimating Petroleum Resources. Edited by Jo Anne DeGraffenreid. Oxford University Press, 2008. http://dx.doi.org/10.1093/oso/9780195331905.001.0001.

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This book describes procedures for determining the total hydrocarbon (petroleum) resource or resource potential in a region. Statistical concepts and methods employed in petroleum resource assessment are the subject of the manuscript, extensively illustrated by numerous real case studies. Prof. Lee's computer-aided Petroleum Information Management and Resource Evaluation System (PETRIMES) methodology has been adopted by governments around the world and by major multinational oil companies to perform resource assessment and to predict future oil and gas production. Though this methodology is so
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7

Jarvis, B. Kierra. Using statistical modelling to predict the plutonium contamination hold-up in a glove-box. 1996.

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8

So Much Data So Little Math: How to Predict Data Trends -- 5 Easy Profitable Methods. University Press of America, 2000.

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9

Using the past to predict the future: Historical data, loss development and trend. Insurance Services Office, Inc., 1989.

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10

Development of an anthropometric regression equation to predict body density in African American women. 1994.

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11

Development of regression equations to predict body density in obese non diabetics and obese Type II diabetic adults. 1994.

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12

Schroeder, Daniel V. An Introduction to Thermal Physics. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192895547.001.0001.

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Thermal physics deals with collections of large numbers of particles—typically 10<sup>23</sup> or so. Examples include the air in a balloon, the water in a lake, the electrons in a chunk of metal, and the photons given off by the sun. We can't possibly follow every detail of the motions of so many particles. So in thermal physics we assume that these motions are random, and we use the laws of probability to predict how the material as a whole ought to behave. Alternatively, we can measure the bulk properties of a material, and from these infer something about the particles it is made of. This
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13

Frey, Ulrich. Sustainable Governance of Natural Resources. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780197502211.001.0001.

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Natural resources are often overexploited. Nevertheless, there are counterexamples of sustainably using common-pool resources. This book analyses the most important factors influencing the management of natural resources. Hence, the important question—What makes some systems successful?—is answered in this book. Based on three of the world’s largest data sets on fisheries, forest management, and irrigation systems, success factors are empirically examined. The book presents a synthesis of twenty-four success factors that explain ecological success, such as participation possibilities. The anal
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14

Brazier, John, Julie Ratcliffe, Joshua A. Salomon, and Aki Tsuchiya. Modelling health state valuation data. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198725923.003.0005.

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This chapter examines the technical issues in modelling health state valuation data. Most measures of health define too many states to directly value all of them (e.g. SF-6D defines 18,000 health states). The solution has been to value a subset and by using modelling to predict the values of all states. This chapter reviews two approaches to modelling: one using multiattribute utility theory to determine health values given an assumed functional form; and the other is using statistical modelling of SF-6D preference data that are skewed, bimodal, and clustered by respondents. This chapter exami
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15

Landau, Ruth, and Clemens Ortner. Genetics. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198713333.003.0052.

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Phenotyping is key in all genetic association studies and designing clinical studies to assess the genetic contribution to pain and analgesic response in general, and in the context of obstetric pain is even more challenging. In addition, interpreting results, particularly when multiple genes are evaluated, requires large sample sizes and appropriate statistical analysis to avoid misconstrued finding. The genetic contribution to labour pain or even that of pharmacogenetics to explain differences in analgesic response is probably not simple and straightforward and we are at the beginning of our
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16

Nozière, Pierre. INRA feeding system for ruminants. Edited by Daniel Sauvant and Luc Delaby. Wageningen Academic Publishers, 2018. http://dx.doi.org/10.3920/978-90-8686-872-8.

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The INRA Feeding System for Ruminants has been renewed to better address emerging challenges for animal nutrition: prevision of productive responses, product quality, animal health and emissions to the environment, in a larger extent of breeding contexts. The new system is mainly built from meta-analyses of large data bases, and modelling. The dietary supply model accounts for digestive interactions and flows of individual nutrients, so that feed values depend on the final ration. Animal requirements account for variability in metabolic efficiency. Various productive and non-productive animal
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17

Corbett, Jack, and Wouter Veenendaal. Democracy in Small States. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198796718.001.0001.

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This book brings thirty-nine small democracies into the comparative politics canon for the first time. For over fifty years, scholars have debated the complex and dynamic process called democratization: currently the discipline thinks that economic growth, cultural homogeneity, institutional design, party system institutionalization, and geographic location explain why some transitions consolidate, and others do not. But this work has systematically overlooked the world’s thirty-nine smallest states (with populations of 1 million or less), located in Africa, Asia, Europe, the Pacific, and Cari
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18

Rodgers, Yana van der Meulen. The Global Gag Rule and Women's Reproductive Health. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190876128.001.0001.

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In recent decades, the long arm of US politics has reached the intimate lives of women all over the world. Since 1984, healthcare organizations in developing countries have faced major cuts in US foreign aid if they perform or promote abortions as a method of family planning. The policy—commonly known as the global gag rule—is a hallmark of Republican administrations. The reinstatement and expansion of the global gag rule by Donald Trump in January 2017 caused a firestorm of debate. Proponents emphasize the importance of reducing abortions globally, while critics predict large increases in uns
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19

Claussen, Martin, Anne Dallmeyer, and Jürgen Bader. Theory and Modeling of the African Humid Period and the Green Sahara. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.532.

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There is ample evidence from palaeobotanic and palaeoclimatic reconstructions that during early and mid-Holocene between some 11,700 years (in some regions, a few thousand years earlier) and some 4200 years ago, subtropical North Africa was much more humid and greener than today. This African Humid Period (AHP) was triggered by changes in the orbital forcing, with the climatic precession as the dominant pacemaker. Climate system modeling in the 1990s revealed that orbital forcing alone cannot explain the large changes in the North African summer monsoon and subsequent ecosystem changes in the
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20

Tibaldi, Stefano, and Franco Molteni. Atmospheric Blocking in Observation and Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.611.

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The atmospheric circulation in the mid-latitudes of both hemispheres is usually dominated by westerly winds and by planetary-scale and shorter-scale synoptic waves, moving mostly from west to east. A remarkable and frequent exception to this “usual” behavior is atmospheric blocking. Blocking occurs when the usual zonal flow is hindered by the establishment of a large-amplitude, quasi-stationary, high-pressure meridional circulation structure which “blocks” the flow of the westerlies and the progression of the atmospheric waves and disturbances embedded in them. Such blocking structures can hav
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