Powerful Trend Function Tests That Are Robust to Strong Serial Correlation, With an Application to the Prebisch–Singer Hypothesis

Finite-sample Resampling-based Combined Hypothesis Tests, with Applications to Serial Correlation and Predictability

This paper suggests Monte Carlo multiple test procedures which are provably valid in finite samples. These include combination methods originally proposed for independent statistics and further improvements which formalize statistical practice. We also adapt the Monte Carlo test method to non-continuous combined statistics. The methods suggested are applied to test serial dependence and predict...

Serial Correlation Tests with Wavelets

This paper offers two new statistical tests for serial correlation with better power properties. The first test is concerned with wavelet-based portmanteau tests of serial correlation. The second test extends the wavelet-based tests to the residuals of a linear regression model. The wavelet approach is appealing, since it is based on the different behavior of the spectra of a white noise proces...

ترجمه و تحقیق کتاب an introduction to the history of mysticism

پایان نامه ی ارائه شده ترجمه ی کتاب «an introduction to the history of mysticism» نوشته ی مارگارت اسمیت که وی پژوهشگر، خاورشناس و محقق برجسته ی تصوف و عرفان می باشد. موضوع اساسی و مهم این کتاب عرفان در ادیان مختلف است. نویسنده در ابتدا این کلمه را ریشه یابی کرده و سپس تعریفی از آن ارائه داده و آن را در ادیان مختلف مورد بحث قرار داده است و در هر فصل کتاب به معرفی عرفای آن دین یا عصر خاصی پرداخته...

Decision criteria in risk analysis : an application of stochastic dominance with respect to a function

An alternative to null-hypothesis significance tests.

The statistic p(rep) estimates the probability of replicating an effect. It captures traditional publication criteria for signal-to-noise ratio, while avoiding parametric inference and the resulting Bayesian dilemma. In concert with effect size and replication intervals, p(rep) provides all of the information now used in evaluating research, while avoiding many of the pitfalls of traditional st...