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1

Sreekumar, Sreejith, Asaf Cohen, and Deniz Gündüz. "Privacy-Aware Distributed Hypothesis Testing." Entropy 22, no. 6 (2020): 665. http://dx.doi.org/10.3390/e22060665.

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A distributed binary hypothesis testing (HT) problem involving two parties, a remote observer and a detector, is studied. The remote observer has access to a discrete memoryless source, and communicates its observations to the detector via a rate-limited noiseless channel. The detector observes another discrete memoryless source, and performs a binary hypothesis test on the joint distribution of its own observations with those of the observer. While the goal of the observer is to maximize the type II error exponent of the test for a given type I error probability constraint, it also wants to k
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2

Salehkalaibar, Sadaf, and Michèle Wigger. "Distributed Hypothesis Testing over Noisy Broadcast Channels." Information 12, no. 7 (2021): 268. http://dx.doi.org/10.3390/info12070268.

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This paper studies binary hypothesis testing with a single sensor that communicates with two decision centers over a memoryless broadcast channel. The main focus lies on the tradeoff between the two type-II error exponents achievable at the two decision centers. In our proposed scheme, we can partially mitigate this tradeoff when the transmitter has a probability larger than 1/2 to distinguish the alternate hypotheses at the decision centers, i.e., the hypotheses under which the decision centers wish to maximize their error exponents. In the cases where these hypotheses cannot be distinguished
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3

Chair, Z., and P. K. Varshney. "Distributed Bayesian hypothesis testing with distributed data fusion." IEEE Transactions on Systems, Man, and Cybernetics 18, no. 5 (1988): 695–99. http://dx.doi.org/10.1109/21.21597.

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4

Gilani, Atefeh, Selma Belhadj Amor, Sadaf Salehkalaibar, and Vincent Y. F. Tan. "Distributed Hypothesis Testing with Privacy Constraints." Entropy 21, no. 5 (2019): 478. http://dx.doi.org/10.3390/e21050478.

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We revisit the distributed hypothesis testing (or hypothesis testing with communication constraints) problem from the viewpoint of privacy. Instead of observing the raw data directly, the transmitter observes a sanitized or randomized version of it. We impose an upper bound on the mutual information between the raw and randomized data. Under this scenario, the receiver, which is also provided with side information, is required to make a decision on whether the null or alternative hypothesis is in effect. We first provide a general lower bound on the type-II exponent for an arbitrary pair of hy
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5

Pados, D., K. W. Halford, D. Kazakos, and P. Papantoni-Kazakos. "Distributed binary hypothesis testing with feedback." IEEE Transactions on Systems, Man, and Cybernetics 25, no. 1 (1995): 21–42. http://dx.doi.org/10.1109/21.362967.

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6

Lalitha, Anusha, Tara Javidi, and Anand D. Sarwate. "Social Learning and Distributed Hypothesis Testing." IEEE Transactions on Information Theory 64, no. 9 (2018): 6161–79. http://dx.doi.org/10.1109/tit.2018.2837050.

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7

Li, Zishuo, Yilin Mo, and Fei Hao. "Distributed Sequential Hypothesis Testing With Byzantine Sensors." IEEE Transactions on Signal Processing 69 (2021): 3044–58. http://dx.doi.org/10.1109/tsp.2021.3075147.

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8

Sreekumar, Sreejith, and Deniz Gunduz. "Distributed Hypothesis Testing Over Discrete Memoryless Channels." IEEE Transactions on Information Theory 66, no. 4 (2020): 2044–66. http://dx.doi.org/10.1109/tit.2019.2953750.

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9

Escamilla, Pierre, Michele Wigger, and Abdellatif Zaidi. "Distributed Hypothesis Testing: Cooperation and Concurrent Detection." IEEE Transactions on Information Theory 66, no. 12 (2020): 7550–64. http://dx.doi.org/10.1109/tit.2020.3019654.

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10

Li, Shang, and Xiaodong Wang. "Distributed Sequential Hypothesis Testing With Quantized Message-Exchange." IEEE Transactions on Information Theory 66, no. 1 (2020): 350–67. http://dx.doi.org/10.1109/tit.2019.2947494.

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11

Crestani, Fabio, and Shengli Wu. "Testing the cluster hypothesis in distributed information retrieval." Information Processing & Management 42, no. 5 (2006): 1137–50. http://dx.doi.org/10.1016/j.ipm.2005.12.002.

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12

Li, Shang, and Xiaodong Wang. "Fully Distributed Sequential Hypothesis Testing: Algorithms and Asymptotic Analyses." IEEE Transactions on Information Theory 64, no. 4 (2018): 2742–58. http://dx.doi.org/10.1109/tit.2018.2806961.

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13

Salehkalaibar, Sadaf, and Michele Wigger. "Distributed Hypothesis Testing Based on Unequal-Error Protection Codes." IEEE Transactions on Information Theory 66, no. 7 (2020): 4150–82. http://dx.doi.org/10.1109/tit.2020.2993172.

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14

Rahman, Md Saifur, and Aaron B. Wagner. "On the Optimality of Binning for Distributed Hypothesis Testing." IEEE Transactions on Information Theory 58, no. 10 (2012): 6282–303. http://dx.doi.org/10.1109/tit.2012.2206793.

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15

Rhim, Joong Bum, Lav R. Varshney, and Vivek K. Goyal. "Quantization of Prior Probabilities for Collaborative Distributed Hypothesis Testing." IEEE Transactions on Signal Processing 60, no. 9 (2012): 4537–50. http://dx.doi.org/10.1109/tsp.2012.2200890.

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16

Rhim, Joong Bum, and Vivek K. Goyal. "Distributed Hypothesis Testing With Social Learning and Symmetric Fusion." IEEE Transactions on Signal Processing 62, no. 23 (2014): 0. http://dx.doi.org/10.1109/tsp.2014.2362885.

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17

Zhu, Xiaoxun, Yingqin Yuan, Chris Rorres, and Moshe Kam. "Distributed M-ary hypothesis testing with binary local decisions." Information Fusion 5, no. 3 (2004): 157–67. http://dx.doi.org/10.1016/j.inffus.2003.10.004.

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18

S Babu, Feba. "Distributed and Fast Detection of Mobile Replica Node Capture Attacks Using Sequential Hypothesis Testing For WSN." International Journal of Scientific Engineering and Research 2, no. 3 (2014): 51–55. https://doi.org/10.70729/j2013167.

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19

Tang, Z. B., K. R. Pattipati, and D. L. Kleinman. "A distributed M-ary hypothesis testing problem with correlated observations." IEEE Transactions on Automatic Control 37, no. 7 (1992): 1042–46. http://dx.doi.org/10.1109/9.148368.

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20

Papastavrou, J. D., and M. Athans. "On optimal distributed decision architectures in a hypothesis testing environment." IEEE Transactions on Automatic Control 37, no. 8 (1992): 1154–69. http://dx.doi.org/10.1109/9.151096.

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21

Sahu, Anit Kumar, and Soummya Kar. "Distributed Sequential Detection for Gaussian Shift-in-Mean Hypothesis Testing." IEEE Transactions on Signal Processing 64, no. 1 (2016): 89–103. http://dx.doi.org/10.1109/tsp.2015.2478737.

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22

Tong, Xinyi, Xiangxiang Xu, and Shao-Lun Huang. "On the Optimal Error Exponent of Type-Based Distributed Hypothesis Testing." Entropy 25, no. 10 (2023): 1434. http://dx.doi.org/10.3390/e25101434.

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Distributed hypothesis testing (DHT) has emerged as a significant research area, but the information-theoretic optimality of coding strategies is often typically hard to address. This paper studies the DHT problems under the type-based setting, which is requested from the popular federated learning methods. Specifically, two communication models are considered: (i) DHT problem over noiseless channels, where each node observes i.i.d. samples and sends a one-dimensional statistic of observed samples to the decision center for decision making; and (ii) DHT problem over AWGN channels, where the di
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23

Kyophilavong, Phouphet, John Luke Gallup, Teerawat Charoenrat, and Kenji Nozaki. "Testing tourism-led growth hypothesis in Laos?" Tourism Review 73, no. 2 (2018): 242–51. http://dx.doi.org/10.1108/tr-03-2017-0034.

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Purpose The purpose of this paper is to investigate the tourism-led growth hypothesis in Laos. Design/methodology/approach The authors test the tourism-led growth hypothesis using autoregressive distributed lag (ARDL) cointegration estimation (Pesaran et al., 2001) and Granger causality tests. Findings The results of this paper show that when tourism is forcing variable, there is no long-run relationship between tourism development and economic growth. The Granger causality test demonstrates that there is a uni-directional causality running from economic growth in tourism. Social implications
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24

Weinberger, Nir, and Yuval Kochman. "On the Reliability Function of Distributed Hypothesis Testing Under Optimal Detection." IEEE Transactions on Information Theory 65, no. 8 (2019): 4940–65. http://dx.doi.org/10.1109/tit.2019.2910065.

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25

Lee, Ji-Woong, and Geir E. Dullerud. "Dynamic sequential team multi-hypothesis testing under uniformly distributed nonstationary observations." Systems & Control Letters 57, no. 12 (2008): 1030–36. http://dx.doi.org/10.1016/j.sysconle.2008.06.007.

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26

Sreekumar, Sreejith, and Deniz Gündüz. "Distributed Hypothesis Testing over a Noisy Channel: Error-Exponents Trade-Off." Entropy 25, no. 2 (2023): 304. http://dx.doi.org/10.3390/e25020304.

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A two-terminal distributed binary hypothesis testing problem over a noisy channel is studied. The two terminals, called the observer and the decision maker, each has access to n independent and identically distributed samples, denoted by U and V, respectively. The observer communicates to the decision maker over a discrete memoryless channel, and the decision maker performs a binary hypothesis test on the joint probability distribution of (U,V) based on V and the noisy information received from the observer. The trade-off between the exponents of the type I and type II error probabilities is i
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27

Waldorp, Lourens J., Hilde M. Huizenga, Raoul P. P. P. Grasman, Koen B. E. Böcker, and Peter C. M. Molenaar. "Hypothesis testing in distributed source models for EEG and MEG data." Human Brain Mapping 27, no. 2 (2006): 114–28. http://dx.doi.org/10.1002/hbm.20170.

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28

Martien, Karen K., and Barbara L. Taylor. "Limitations of hypothesis-testing in defining management units for continuously distributed species." J. Cetacean Res. Manage. 5, no. 3 (2023): 213–18. http://dx.doi.org/10.47536/jcrm.v5i3.800.

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Estimating the risk to wildlife populations resulting from human-induced mortality relies on adequately defining population structure. For marine populations, including cetaceans, identifying population boundaries is difficult because most species have large continuous distributions with no obvious barriers to dispersal. For many species, the extreme ends of the range differ in morphology, indicating that population structure exists. However, the lack of distributional hiatuses often makes this structure difficult to detect. A common method of defining structure in such situations is to use ge
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29

Halicioglu, Ferda, and Natalya Ketenci. "Testing the productivity bias hypothesis in Middle East countries." Journal of Economic Studies 45, no. 5 (2018): 922–31. http://dx.doi.org/10.1108/jes-04-2017-0104.

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Purpose The purpose of this paper is to empirically test the validity of the productivity bias hypothesis (PBH) in 18 Middle East countries. Design/methodology/approach The paper employs autoregressive-distributed lag approach to cointegration approach and stability tests. Findings The empirical results suggest the existence of the PBH only in the case of Bahrain, Kuwait and Saudi Arabia. Practical implications Conclusions drawn from this research could be useful for the policy-makers of governments and practitioners in international trade organizations. Originality/value This study extends th
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30

Guemas, Virginie, Ludovic Auger, and Francisco J. Doblas-Reyes. "Hypothesis Testing for Autocorrelated Short Climate Time Series." Journal of Applied Meteorology and Climatology 53, no. 3 (2014): 637–51. http://dx.doi.org/10.1175/jamc-d-13-064.1.

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AbstractCommonly used statistical tests of hypothesis, also termed inferential tests, that are available to meteorologists and climatologists all require independent data in the time series to which they are applied. However, most of the time series that are usually handled are actually serially dependent. A common approach to handle such a serial dependence is to replace in those statistical tests the actual number of data by an estimated effective number of independent data that is computed from a classical and widely used formula that relies on the autocorrelation function. Despite being pe
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31

Burmeister, Leon F., David Bimbaum, and Samuel B. Sheps. "The Merits of Confidence Intervals Relative to Hypothesis Testing." Infection Control & Hospital Epidemiology 13, no. 9 (1992): 553–55. http://dx.doi.org/10.1086/646596.

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A variety of statistical tests of a null hypothesis commonly are used in biomedical studies. While these tests are the mainstay for justifying inferences drawn from data, they have important limitations. This report discusses the relative merits of two different approaches to data analysis and display, and recommends the use of confidence intervals rather than classic hypothesis testing.Formulae for a confidence interval surrounding the point estimate of an average value take the form: d= ±zσ/√n, where “d” represents the average difference between central and extreme values, “z” is derived fro
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32

López, Luis. "Parallel Computation in Word Formation." Linguistic Inquiry 46, no. 4 (2015): 657–701. http://dx.doi.org/10.1162/ling_a_00197.

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Taking the Distributed Morphology model as a starting point, this article presents and develops the hypothesis that parallel computations drive some word formation processes. Along the way, some Distributed Morphology assumptions, particularly those concerning contextual allomorphy, are revised. It is argued that event structure is a syntactic head independent of the presence of a vP. Nominalizations in Spanish, which often exhibit verbal thematic vowels between the root and the nominalizing affix, turn out to be an ideal testing ground for theoretical hypotheses.
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33

Mubarok, Husni, Ery Suryanti, and Hendra Lesmana. "Dominasi Elemen Penilaian RGEC Atas Harga Saham PT Bank Panin Dubai Syariah Tbk." Jurnal Sistem Informasi Akuntansi (JASIKA) 2, no. 2 (2022): 88–95. http://dx.doi.org/10.31294/jasika.v2i2.1466.

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Exploration to find out the influence of the Dominance of RGEC Valuation Elements on the Stock Price of PT Bank Panin Dubai Syariah Tbk on the IDX in 2014 to 2020 with research methods designing quantitative secondary data where the results of partial hypothesis testing are most prominent Risk Profile 1,177 very valid correlation t count 1,688 > t Table 2.36462 significance 0.234 < 0.050 residual normally distributed to Stock Price accepts the hypothesis Ho and the results of hypothesis testing show that simultaneously the feasible components are 0.831 explained 83.1% very valid correlat
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34

Panda, Meenakshi, and P. M. Khilar. "Distributed Byzantine fault detection technique in wireless sensor networks based on hypothesis testing." Computers & Electrical Engineering 48 (November 2015): 270–85. http://dx.doi.org/10.1016/j.compeleceng.2015.06.024.

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35

Srivastava, Muni S. "Some tests criteria for the covariance matrix with fewer observations than the dimension." Acta et Commentationes Universitatis Tartuensis de Mathematica 10 (December 31, 2006): 77–93. http://dx.doi.org/10.12697/acutm.2006.10.07.

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We consider testing certain hypotheses concerning the covariance matrix Σ when the number of observations N=n+1 on the p-dimensional random vector x, distributed as normal, is less than p, n<p, and n/p goes to zero. Specifically, we consider testing Σ=σ2Ip, Σ=Ip, Σ=Λ, a diagonal matrix, and Σ=σ2[(1−ρ)Ip+ρ1p1′p], an intraclass correlation structure, where 1′p=(1,1,…,1), is a p-row vector of ones, and Ip is the p×p identity matrix. The first two tests are the adapted versions of the likelihood ratio tests when n>p, p-fixed, and p/n goes to zero, to the case when n<p, n-fixed, and n/p go
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36

Chaulagai, Mahesh Kumar. "Testing the J-Curve Hypothesis: A Case of Nepal." NRB Economic Review 27, no. 1 (2015): 17–36. http://dx.doi.org/10.3126/nrber.v27i1.52565.

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This paper attempts to explore the J-curve phenomenon in the case of Nepalese foreign trade sector in order to examine whether devaluation2 of Nepalese currency can be taken as a policy tool for improving Nepalese trade imbalance with the rest of the world economies. Johansen's cointegration test, vector autoregression (VAR) model, impulse response function as well as autoregressive distributed lag (ARDL) bounds testing cointegration approach has been employed in order to see the relationships between the nominal effective exchange rate index (NEER) and trade balance (TB) as well as the real e
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37

LAI, DEJIAN. "TESTING CHAOS OF TIME SERIES: PORTMANTEAU STATISTICS UNDER AN ORDER TRANSFORMATION." International Journal of Bifurcation and Chaos 11, no. 06 (2001): 1761–69. http://dx.doi.org/10.1142/s0218127401003012.

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This paper studies several portmanteau test statistics with a nonparametric order transformation for distinguishing independent and identically distributed (i.i.d.) random processes from noisy chaotic time series. These portmanteau test statistics are asymptotically distributed as a chi-square random variable under the null hypothesis of i.i.d. Gaussian series. In this Letter, we show that the asymptotic distributions of these portmanteau test statistics on the transformed series are still chi-square under the null hypothesis. The simulations indicate that direct use of these portmanteau test
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38

Zheng, John Xu. "CONSISTENT SPECIFICATION TESTING FOR CONDITIONAL SYMMETRY." Econometric Theory 14, no. 1 (1998): 139–49. http://dx.doi.org/10.1017/s0266466698141063.

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This paper presents a consistent specification test of conditional symmetry using a kernel method. The test statistic is shown to be asymptotically distributed as standard normal under the null hypothesis of conditional symmetry and consistent against any conditional asymmetric distribution. Power against local alternatives is also investigated. A Monte Carlo simulation is provided to evaluate the finite-sample performance of the test.
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39

Pantula, Sastry G. "Testing for Unit Roots in Time Series Data." Econometric Theory 5, no. 2 (1989): 256–71. http://dx.doi.org/10.1017/s0266466600012421.

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Let Yt satisfy the stochastic difference equation for t = 1,2,…, where et are independent and identically distributed random variables with mean zero and variance σ2 and the initial conditions (Y−p+1,…, Y0) are fixed constants. It is assumed that the process is invertible and that the true, but unknown, roots m1,m2,…,mp of satisfy the hypothesis Hd: m1 = … = md = 1 and |mj| < 1 for j = d + 1,…,p. We present a reparameterization of the model for Yt that is convenient for testing the hypothesis Hd. We consider the asymptotic properties of (i) a likelihood ratio type “F-statistic” for testing
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40

Riaz, Noman, Waseem Akram, and Iqbal Javed. "Determining the role of agriculture towards urbanization: testing the hypothesis." International Journal of Agricultural Extension 10, no. 1 (2022): 01–07. http://dx.doi.org/10.33687/ijae.010.01.3390.

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The current study has examined the role of agriculture in urbanization. The study used time series data from 1983-2017. The order of integration of data suggested the estimation of an autoregressive distributed lag model for analysis. The study also used (Bayer and Hanck, 2012) combine cointegration to check the consistency of the cointegration relationship between agriculture growth and urbanization in the presence of other regressors. The empirical results showed that growth in the agriculture sector decreased urbanization. Whereas, problematic urbanization can be controlled through the deve
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41

Laitrakun, Seksan. "Decision fusion for composite hypothesis testing in wireless sensor networks over a shared and noisy collision channel." International Journal of Distributed Sensor Networks 16, no. 7 (2020): 155014772094020. http://dx.doi.org/10.1177/1550147720940204.

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We consider the composite hypothesis testing problem of time-bandwidth-constrained distributed detection. In this scenario, the probability distribution of the observed signal when the event of interest is happening is unknown. In addition, local decisions are censored and only those uncensored local decisions will be sent to the fusion center over a shared and noisy collision channel. The fusion center also has a limited time duration to collect transmitted decisions and make a final decision. Two types of medium access control that the sensor nodes apply to send their decisions are investiga
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42

Sinaga, Aprillia Lonny, Teman Koesmono, and Christofera Marliana Junaedi. "THE EFFECT OF ORGANIZATIONAL CULTURE, INCENTIVE, AND WORK DISCIPLINE ON EMPLOYEE PERFORMANCE." Research In Management and Accounting 6, no. 1 (2023): 21–31. http://dx.doi.org/10.33508/rima.v6i1.4425.

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This research aims to identify the impact of work environment and career development on job performance. A questionnaire is distributed to administrative employees in Surabaya. The data collected and can be used in hypothesis testing are 101 respondent data. Hypothesis testing was carried out using multiple linear regression in the SPSS 23.0 program. The findings of this study support the research hypothesis, namely that work environment and career development significantly have a positive effect on the job performance of administrative employees in Surabaya.
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43

Deriso, Richard B., Mark N. Maunder, and John R. Skalski. "Variance estimation in integrated assessment models and its importance for hypothesis testing." Canadian Journal of Fisheries and Aquatic Sciences 64, no. 2 (2007): 187–97. http://dx.doi.org/10.1139/f06-178.

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Variance in likelihood functions for multiple normally distributed data sets can be reliably estimated in integrated assessment models, and their values are important for accurate hypothesis tests. Commonly, assessment models are fitted to multiple types of observations by constructing a joint likelihood function that is then maximized. When a model contains no random effects and all random variables in the likelihood function represent errors in the prediction of measurements, then variances for each of the error distributions are estimable provided that no likelihood component has zero degre
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44

Sahu, Anit Kumar, and Soummya Kar. "Recursive Distributed Detection for Composite Hypothesis Testing: Nonlinear Observation Models in Additive Gaussian Noise." IEEE Transactions on Information Theory 63, no. 8 (2017): 4797–828. http://dx.doi.org/10.1109/tit.2017.2686435.

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45

Pratama, Yodi. "PENGARUH LINGKUNGAN KERJA, PEMBELAJARAN ORGANISASIONAL, DAN PERILAKU ADAPTIF TERHADAP PRODUKTIVITAS KERJA TENAGA KESEHATAN." Jurnal Bisnis dan Kewirausahaan 14, no. 1 (2021): 65–76. http://dx.doi.org/10.31001/jbk.v14i1.1479.

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This study aims to examine the effect of the work environment, organizational learning, and adaptive behavior on the work productivity of health workers. Work productivity is important for the hospital in producing an output or work result in accordance with the specified quality. Data obtained through a questionnaire distributed to health workers. The research sample used was 200 This study used purposive sampling. In Surakarta. Hypothesis testing uses multiple linear regression. The first and third hypotheses are supported and the second hypothesis is not supported.
 Keywords: Work Envi
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46

Marlina, Evi, Sri Rahmayanti, and Ameilia Dwi Rur Afdilah Futri. "Pengaruh Kepemimpinan, Kompetensi, Teknologi Informasi Terhadap Akuntabilitas Pengelola Dana Desa di Kecamatan Rakit Kulim, Riau." Jurnal Akuntansi dan Ekonomika 11, no. 1 (2021): 89–100. http://dx.doi.org/10.37859/jae.v11i1.2517.

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This study examines the influence of leadership, competence and information technology on the accountability of village fund management in Rakit Kulim sub-district, Indragiri Hulu, Riau. Regarding the objectives of this study, three hypotheses were formulated, namely leadership, competence and information technology on the accountability of village fund management. This study uses a quantitative approach. Data collection was carried out using a questionnaire, from 76 questionnaires distributed to the village government apparatus of the Rakit Kulim sub-district and all of them returned. To test
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47

Subandi, Subandi, and Nerys Lourensius L. Tarigan. "Information Technology: Its Impact on Product Competitiveness Mediated by Product Innovation in SMEs." Jurnal Orientasi Bisnis dan Entrepreneurship (JOBS) 5, no. 2 (2024): 163–74. https://doi.org/10.33476/jobs.v5i2.4748.

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One of the main challenges for SMEs players is the application of information technology to increase product innovation and competitiveness This study aims to examine a research model that is expected to provide insights into the impact of information technology on product innovation and its influence on product competitiveness. Data were collected from 100 respondents involved in SMEs through a distributed questionnaire. This research conducted three tests on the hypotheses based on indicator variables using SEM-PLS (Partial Least Squares) analysis with SmartPLS software. These tests include
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48

Espinosa, Sebastián, Jorge F. Silva, and Sandra Céspedes. "A Survey on Error Exponents in Distributed Hypothesis Testing: Connections with Information Theory, Interpretations, and Applications." Entropy 26, no. 7 (2024): 596. http://dx.doi.org/10.3390/e26070596.

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A central challenge in hypothesis testing (HT) lies in determining the optimal balance between Type I (false positive) and Type II (non-detection or false negative) error probabilities. Analyzing these errors’ exponential rate of convergence, known as error exponents, provides crucial insights into system performance. Error exponents offer a lens through which we can understand how operational restrictions, such as resource constraints and impairments in communications, affect the accuracy of distributed inference in networked systems. This survey presents a comprehensive review of key results
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Dewi, Erwita, Hendriyaldi Hendriyaldi, and Feni Tialonawarmi. "EFFECT OF FINANCIAL ACCESS ON MSME BUSINESS PERFORMANCE, THE MODERATING ROLE OF FINANCIAL LITERACY (STUDY ON YOUTH ENTREPRENEURIAL GROUP IN JAMBI CITY)." Journal of Business Studies and Mangement Review 5, no. 2 (2022): 215–20. http://dx.doi.org/10.22437/jbsmr.v5i2.19137.

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This study aims to determine the effect of financial access on business performance by testing the moderation effect of financial literacy on entrepreneurial youth groups in Jambi city. Using a survey research design, the questionnaire was distributed to 252 respondents. Hypothesis testing using PLS-SEM analysis tools with Smart PLS 2.0 software. The results of the study indicate that the entire hypothesis was accepted. This proves that financial access affects the business performance of MSMEs and financial literacy acts as a moderation variable.
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A'yun, Indanazulfa Qurrota, Muhammad Safar Nasir, Zarul Azhar bin Nasir, Fatima Muhammad Abdulkarim, and Murtaza Hussain. "Testing The Environmental Kuznets Curve (EKC) Hypothesis in Indonesia and India: Autoregressive Distributed Lag (ARDL) Model Approach." Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan 24, no. 2 (2023): 320–30. http://dx.doi.org/10.23917/jep.v24i2.23191.

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The achievement of economic growth is equally important as environmental sustainability. Economic growth is considered capable of enhancing the overall welfare of society. However, there is a sacrifice stemming from economic growth in the form of negative external impacts. Therefore, the objective of this study is to examine the Environmental Kuznets Curve (EKC) hypothesis in Indonesia and India. The EKC hypothesis connects economic growth with CO2 emissions. The Autoregressive Distributed Lag (ARDL) model is employed to assess both the long-term and short-term impacts of economic growth on CO
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