List of Articles آزمون آماری

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  1 - Analysis of Climatic Fluctuations Elements and Their Effects on Jarahi River Discharge Operation using Non-Parametric Methods
  Reza برنا
  River flow changes over time could be the effects of climate change or lack of change in the region is clear. Research on the part of the river basins in the southern province of Khuzestan Jarahi done to examine the impact of climate change on river discharges in the re More

  River flow changes over time could be the effects of climate change or lack of change in the region is clear. Research on the part of the river basins in the southern province of Khuzestan Jarahi done to examine the impact of climate change on river discharges in the region is.Accordingly, in this study to investigate the variability of climate, especially temperature, rainfall and hydrological conditions of the non-parametric Man-Kendall test and yield age is MAKESENS software. In order to achieve the objectives of the research, fluctuations in temperature and precipitation for the period of thirty years (1983-2013) examined and it was found that the temperature fluctuations in the rally and Kendall statistics about 2/21, and the age profile yield 0.3 respectively, both of which were significant at 95%. Precipitation in the region have generally negative trend, indicating a decline in the region is the atmospheric precipitation, however, that these fluctuations are investigated any significant non-parametric Debit fluctuations in all studied stations downside is that these trends to test Mann-Kendall statistics, on average, about -2/4 and yield index age of -1/22 And significant at 95 and 99 percent. The results of this research can be said to increased fluctuations in temperature and decrease in rainfall during this period of reduced river flows largely affected. Manuscript profile
• Open Access Article
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  2 - Data Analyses in Veterinary Research & Practice
  Negin Esfandiary MohammadArad zandieh
  https://doi.org/10.61186/eltiamj.10.2.4
  Researchers can interpret and analyze livestock problems and diseases by using data obtained from different characteristics of animals and their environment. The pivotal role of statistical analysis of data in the field of veterinary research & practice is inevitable. I More

  Researchers can interpret and analyze livestock problems and diseases by using data obtained from different characteristics of animals and their environment. The pivotal role of statistical analysis of data in the field of veterinary research & practice is inevitable. In this review article, shedding light on its significance in unraveling complex patterns and drawing reliable conclusions from diverse datasets. The veterinary domain, characterized by a spectrum of species and inherent biological variability, necessitates robust statistical methodologies to discern meaningful insights. In order to make inferences about disease causation or a researcher's hypothesis, data must be categorized and the goal is to decide whether the groups are statistically different or not. Finally, using a suitable statistical test, the research hypothesis is rejected or accepted, and finally the necessary interpretations are made. The researcher can decide what data should be collected and how. In practice, in this case, the researcher's hands are open and they can make the best possible decision, but often prospective data collection is costly and time-consuming. Another mode is retrospective research, which is often based on data collected by veterinarians from slaughterhouses, laboratories, clinics, inoculation centers, etc. or from other organizations and institutions. The article explores a range of statistical techniques applied in veterinary research and practice, including data normalization, hypothesis test, parametric and non-parametric test, regression and coefficient test, and validity in veterinary medicine. These futures has shedding light on animal interactions and patterns. Ultimately, this review article serves as a comprehensive guide for researchers and practitioners in veterinary science, offering insights into the nuanced application of statistical analyses. By navigating the complexities of veterinary data, it aims to empower the scientific community to leverage statistical tools effectively, ultimately advancing the quality and reliability of research in veterinary medicine. Manuscript profile